At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future.

Overview of Opportunity

Two Six Technologies is seeking a Language Enabled Analyst to support a US Government customer. This position involves leveraging linguistic and cultural understanding to develop effective messaging strategies across a variety of social media platforms, engaging with individuals in those global locations, studying data from various social media platforms and other online sources, assessing content validity, and writing reports detailing these assessments.  The expected duration for this engagement is a six month period.

What you will do

• Assess content in target language or dialect for potential intelligence value
• Engage with individuals in target language on behalf of the program
• Develop and implement messaging strategies for propagating messaging content in target language information environment(s)
• Write long-form analytical reports that summarize findings to be disseminated to multiple stakeholders
• Analyze a wide variety of OSINT information

What you will need

• Native proficiency in Farsi, Dari, Pashto, and Urdu
• Demonstrated advanced professional writing skills in the English language
• Minimum of 4 years writing grammatically and culturally appropriate content in target language without peer review
• Minimum of 4 years in an intensive academic or professional background in target region political and/or security issues
• At least one year of experience supporting a government customer
• High level familiarity with traditional and social media in target language, including prevalent trends, key personalities, political dynamics, and current events
• Demonstrated use of target language in either an IC mission set or in an IO/OSINT mission set.
• Experience and demonstrated proficiency using a range of technologies, including databases and open source tools

Nice to haves

• HUMINT/Targeting experience or experience in cybersecurity
• Background in data science and/or programming languages

Security Clearance:

• An active TS/SCI clearance is required for consideration

#LI-MS1

Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development.

The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements.

Salary Range

$100,000—$125,000 USD

Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company’s current openings!

Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey!  This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions.  If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our  Two Six Technologies News  page!  We share information about the tech world around us and how we are making an impact!  Still have questions, no worries!  You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.

At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As...

About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.

About the Role

The Recommendation Algorithms team powers personalized shopping experiences across Stitch Fix, using machine learning and AI to help clients discover items and outfits they’ll love. The team turns model outputs, inventory, client context, and business objectives into relevant recommendations, rankings, search results, and personalized assortments across Fix and Freestyle.

As the Senior Manager, Recommendation Algorithms, you will lead a team of Data Scientists and Machine Learning Engineers responsible for the strategy, development, and production performance of these client-facing personalization systems. You’ll partner closely with Product, Engineering, Merchandising, Enterprise Analytics, and other Algorithms teams to improve recommendation quality, evolve our technical approach, and deliver measurable client and business impact.

What You’ll Do

• Lead the strategy and execution of client-facing personalization across recommendations, ranking, search, discovery, outfits, and similar-item experiences, balancing relevance, diversity, freshness, inventory availability, client context, and business objectives.
• Shape the roadmap with Product, Engineering, Design, Merchandising, Analytics, and Algorithms partners, making thoughtful tradeoffs across client experience, stylist needs, inventory objectives, recommendation quality, and system complexity.
• Drive rigorous experimentation and measurement through offline evaluation and online A/B testing, using metrics such as engagement, selection, keep rate, items sold, revenue, margin, and client satisfaction to guide decisions and improve outcomes.
• Own the end-to-end algorithm lifecycle, from opportunity sizing and modeling through experimentation, production deployment, monitoring, and operational support, while partnering with Engineering to build scalable, reliable, observable, and explainable recommendation systems.
• Advance how the team uses AI and emerging technologies, including generative AI and LLM-based evaluation, to improve semantic understanding, recommendation and outfit quality, model evaluation, and team productivity while fostering a culture of technical excellence, ownership, learning, and collaboration.

About You

This is what you’ll need to succeed in this role from day one.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Operations Research, or another quantitative field; Master’s degree or PhD preferred.
• 5+ years of experience designing and deploying machine learning solutions, ideally within recommendation systems, search, ranking, personalization, e-commerce, or retail, with strong applied knowledge of areas such as candidate generation, scoring, ranking, retrieval, diversification, contextual personalization, search relevance, or multi-objective optimization.
• 2+ years of experience as a technical lead or people manager, with a demonstrated ability to develop strong technical talent, lead through others, and build a culture of ownership and technical excellence.
• Strong technical foundation in production machine learning, including the ability to write and review production-grade code, ideally in Python, and experience with cloud infrastructure, distributed data systems, scalable ML architecture, experimentation, offline evaluation, and production monitoring.
• Experience designing and interpreting A/B tests and evaluation frameworks, with the ability to connect model performance to client and business outcomes and communicate technical concepts, uncertainty, and tradeoffs to both technical and non-technical audiences.
• Demonstrated ability to build trust and influence roadmaps across Product, Engineering, Analytics, Merchandising, and other cross-functional teams.
• Working knowledge of generative AI, AI-assisted development tools, and emerging AI/ML approaches, with sound judgment around when these technologies add value alongside traditional machine learning and human expertise.

You’ll love working at Stitch Fix  because you will…

• Fuse human creativity and styling expertise to redefine personalized retail.
• Set a high bar for our craft and drive measurable impact across fashion, tech, and data science.
• Actively leverage AI and modern tech to evolve how work gets done.
• Lead with innovation, think boldly, and aren’t afraid to challenge conventional retail norms.
• Win together in a collaborative, low-ego environment where diverse perspectives are celebrated.
• Be client obsessed by putting our customers at the heart of every decision to deliver unmatched personalization and trust.
• Support our team with competitive compensation packages, comprehensive benefits, and meaningful career growth.

Compensation and Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

$185,000—$245,000 USD

This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Please review Stitch Fix’s US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us.  At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM’s platforms enable investigators to trace illicit activity, build...

Position Summary

We are seeking a Clinical-Translational Scientist, (TMED) with a passion for Women’s Health research and expertise in medical genetics and genomics. This individual will collaborate closely with cross-functional teams and external partners, using their expertise in clinical research and genomics to drive actionable insights, and guide the development of research projects and scientific publications. This position offers a unique opportunity to blend biostatistics, clinical research, and translational medicine in a rapidly evolving environment.

Key Responsibilities

1.    In Depth Knowledge of Internal Women’s Health Clinical and Commercial Data

•    Serve as the primary point of contact for all internal clinical and commercial data relating women’s health products and clinical trials.

•    Implement structures and processes for curating and managing datasets

•    Track the types and sources of data (e.g., EHR, real-world data, commercial laboratory data, clinical trials) to optimize use for medical education, publications, and product development.

•    Reinforce processes for data governance, ensuring data accuracy, quality, and regulatory compliance.

2.    Data Analysis & Study Planning

•    Design and execute genomic and clinical analyses to explore biological, scientific, and clinical questions in women’s health.

•    Support the planning of studies collaborating with clinical operations to ensure appropriate data capture, study design, and protocol development.

•    Monitor the research landscape and evaluate emerging technologies and competitive trends

3.    Collaborate with Cross-Functional Teams

Work side-by-side with data scientists and biostatistics team to perform robust analyses on women’s health datasets.

•    Partner with internal teams such as clinical operations, research & development, biostatistics, product management, external site investigators, and key opinion leaders to ensure efficient execution of studies and trials.

4.    Publication & Communication

•    Collaborate with relevant stakeholders and key opinion leaders on the preparation of abstracts, posters, and manuscripts for peer-reviewed publications and academic conferences.

•    Present results to internal and external audiences, including clinicians, academic partners, and cross-functional stakeholders.

•    Translate technical findings into clear, actionable insights for decision-makers across the organization.

5.    Compliance & Privacy

•    Handle PHI (Protected Health Information) and ensure compliance with HIPAA regulations and Natera policies.

•    Maintain a current status on organizational training requirements and pass a post- offer criminal background check.

Qualifications

•    Ph.D. in Clinical Science, Molecular Biology, Genomics, Bioinformatics, Genetics, or related disciplines.

•    Strong scientific foundation in molecular genomics perspectives, preferably in the women’s health space.

•    Demonstrated experience working with genetic data and nomenclature. Variant curation experience and knowledge a plus.

•    Experience working with real-life clinical data (e.g., EMR, LIMS, etc.) and knowledge of clinical parameters and variable definitions.

•    Demonstrated project management experience is a must

•    Demonstrated experience working with external collaborators/KOLs a must.

•    Proficiency in data mining, data curation, statistical analysis tools, and methodologies.

•    Expertise in R programming, including packages such as ggplot2, data.table, and Bioconductor.

•    Familiarity with querying relational databases using SQL.

•    Demonstrated experience with predictive modeling, epidemiological methodology, clinical observational and retrospective study design. Familiarity with machine learning algorithms, computational modeling, or other advanced data science methodologies is beneficial.

Knowledge, Skills, and Abilities

•    Clinical Research & Regulations: Working knowledge of clinical trial processes, IRB requirements, and relevant FDA or equivalent regulations.

•    Project Management: Adept at juggling multiple projects, prioritizing tasks, and meeting deadlines in a fast-paced environment with shifting priorities. Proven success in managing collaborative and individual projects.

•    Communication & Collaboration: Excellent verbal and written communication skills; ability to convey complex scientific concepts to both technical and non-technical stakeholders.

•    Adaptability & Problem-Solving: Solutions-oriented approach; identifies potential challenges or risks and proposes effective resolutions. Experience working in dynamic departments where priorities change quickly.

•    Team Player: Strong interpersonal skills; experience leading or collaborating with cross-functional teams, including data science, clinical operations, and external stakeholders.

Preferred Qualifications

•    Experience managing clinical trials including contracting, budgeting, and protocol design experience.

•    Experience in publishing research in high-impact journals.

•    Knowledge of emerging trends and society guidelines in women’s health.

•    Provide coding and statistical support using Python and R for data exploration, modeling, and interpretation.

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.

We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.

Responsibilities

• Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.

• Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.

• Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.

• Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.

• Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.

Requirements

• A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.

• Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.

• A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.

• Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.

• Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.

• Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.

• Deep understanding of the math and structure behind Diffusion Models and Vision Transformers

• Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Douro Labs is the core development team behind the Pyth Network. We’re looking for a Market Analyst to track the crypto markets, specifically prediction markets and perpetual futures, and turn that understanding into business opportunities for Pyth.

This role is for an analyst who can read the market and explain why it matters to us: someone who can pull on-chain and venue data to quantify a new trend one hour and write the report that convinces the team to act on it the next. You will serve as our eyes on two of the fastest-moving areas in crypto, covering the market side (monitoring events, trader conversations, volumes, and new venues across prediction markets and perps) and the product side (translating that research into a clear picture of our users and concrete opportunities for Pyth).

• Location: Remote (US or Europe)

• Type: Full-time

• Reports to: Head of Technical Operations

About Our Team and Your Role

We are a well-rounded team: half of us are tech whizzes, while the other half excel in building partnerships with institutional clients, prime brokers, and the global financial infrastructure community. Curiosity and rigor are key to how we operate.

Remote Work: Our team is spread across the globe, from the US and South America to Europe and Asia. We are a digital-first organization where remote work is the norm.

Startup-level Speed: We thrive in the dynamic DeFi space and need an analyst who can go from question to answer quickly, without waiting for direction.

The Mission: You will be shaping how Pyth grows in prediction markets and perpetual futures. As these markets expand and new venues launch, your research will inform where we build next and how we serve the teams building on our data.

About the Role

This is a hybrid research/strategy role. At the outset, you’ll monitor prediction markets and perps day to day and connect what’s happening to our business. Over time, your research is expected to directly shape product decisions and new opportunities across Pyth.

We want research that leads to action: every piece of work should end with a clear view on what it means for Pyth and what we should do about it.

Responsibilities

Market Monitoring

• Track news, launches, and structural shifts across prediction markets and perpetual futures

• Monitor the conversations where traders are active, including X, Discord servers, Telegram groups, and other trader communities, to spot sentiment shifts and emerging trends early

• Follow volumes, open interest, funding rates, and market share across major venues

• Connect recent events to their impact on Pyth and share timely takeaways with the team

• Maintain a current view of the competitive landscape, including oracles and data providers serving these markets

User Research

• Research prediction market and perps protocols to understand how they use price data

• Map who our users are, what they need, and where current solutions fall short

• Build dashboards and datasets the team can use to follow these markets

Product Opportunities

• Turn research findings into concrete product ideas for Pyth

• Size opportunities using market and on-chain data

• Work with product, engineering, and BD to prioritize and pressure-test ideas

• Track how launched initiatives perform against the original thesis

Research and Reporting

• Write clear, convincing research reports for internal and external audiences

• Present findings and recommendations to leadership

• Build a repeatable research process the team can rely on

About You

• Background as an analyst at a crypto research firm or in a research/data role at a perps exchange or prediction market

• Deep understanding of prediction market and perpetual futures market structure

• Active in trader communities and comfortable picking up signal from X, Discord, and Telegram

• Proficient with data analysis tools (SQL, Python, Dune or similar)

• Strong writer with a track record of research that drives decisions

• Analytical and a self-starter, comfortable owning a research agenda independently

• Comfortable with startup pace and evolving scope

Think you’ve got what it takes to build the most talented team in the world? We’d love to meet you.

About Maze Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In most companies,...

About Maze Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In most companies,...

About the RoleWe’re looking for an AI Researcher focused on AI architecture research to help design, analyze, and advance next-generation model architectures.

APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing.

Log in using your 20four7VA-issued email address to access the portal.

If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below.

💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen!

If you’re interested in this opportunity, click APPLY TO POSITION to proceed.

\*\*\******************************************************************

Title: CPT-11534 Pharmaceutical Research & Competitive Intelligence Virtual Assistant

Independent Contractor – CPT-11534 Pharmaceutical Research & Competitive Intelligence Virtual Assistant/Business Support VA/Junior-Advanced Level (Remote).

Overview

20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia.

A competitive intelligence firm serving pharmaceutical companies is seeking a part-time Research VA to support news monitoring, clinical-trial research, database maintenance, and AI-assisted research workflows.

The VA will help review and maintain alerts across industry news and pharmaceutical databases, monitor developments in clinical trials, and support internal research using AI tools.

The strongest candidates will already understand the pharmaceutical development and clinical-trial landscape, allowing the client to train them on company-specific databases and workflows rather than teaching the underlying science from scratch. At a minimum, healthcare or medical related backgrounds are required for this position.

The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor.

Scope of Services

Contractors will be required to provide services that align with the following client tasks:

News & Competitive Intelligence Monitoring

• Monitor pharmaceutical and life-sciences news alerts
• Review relevant articles, company updates, earnings-call information, and industry developments
• Audit alert results for relevance and accuracy
• Organize and maintain research findings
• Flag meaningful developments for the internal team
• Support recurring competitive intelligence research as assigned

Clinical Trial Research

• Search and monitor clinical-trial databases
• Review trial status, development activity, and relevant updates
• Maintain organized records of active programs and trial information
• Assist with tracking developments across selected companies, products, or therapeutic areas
• Escalate findings requiring deeper scientific or strategic review

Database & AI Support

• Work within AlphaSense and GlobalData after client training
• Maintain searches, alerts, and relevant research outputs
• Use AI tools to summarize, organize, and accelerate research
• Apply effective prompting techniques to research workflows
• Verify AI-generated outputs rather than relying on them without review
• Support development of improved research workflows as the team expands

Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing.

Skills

The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:

Strongly Preferred

• Clinical-trial research or clinical-development experience
• Pharmaceutical-company experience
• Regulatory or drug-development experience
• Cancer biology, biomedical research, or related life-sciences research experience

Also Consider

• Pharmacy/pharmacist background
• Pharmaceutical or medical sales representative experience
• Healthcare background with meaningful exposure to pharmaceutical development
• Applicable medical backgrounds

Additional Requirements

• Research experience required
• Strong attention to detail required
• Working knowledge of AI and prompting strongly preferred
• Strong written English required
• AlphaSense or GlobalData experience is a plus but not required; training will be provided

IDEAL CANDIDATE PROFILE

• Analytical and highly detail-oriented
• Comfortable working with scientific and pharmaceutical information
• Able to independently execute from an established research plan
• Strong research and information-review skills
• Comfortable learning new databases quickly
• AI-literate and interested in using AI to accelerate research
• Able to distinguish meaningful developments from irrelevant noise
• Organized and consistent with recurring monitoring work

APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED

• AlphaSense – Training Provided
• GlobalData – Training Provided
• Clinical Trial Search / Research Platforms
• ChatGPT / Claude / Other AI Tools
• Microsoft Office

Work Schedule

• Contracted Hours per Week: 20 Hours ( hours may increase based on performance)
• Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing)
• Daily Working Time: Flexible EST Business Hours – TBD

Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW.

Terms of Engagement

• Contractors will operate under a Master Services Agreement and a Statement of Work
• This is not an offer of employment; contractors are not employees of 20four7VA or any client
• All compensation is processed through 20four7VA according to the terms of the engagement

Role Summary & Requirements

• REQUIRED SERVICE: Business Support
• REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior, and Advanced Level
• Contracted Hours per Week: 20 hours/week ( hours may increase based on performance)
• Daily Working Time: Flexible EST Business Hours – TBD
• Scheduled Working Days: Monday-Friday
• REPORTING TO/POC: To Be Determined
• Number of VAs: 1
• GENDER PREFERENCE: None
• LANGUAGES SPOKEN/PREFERENCE: English
• ACCENT PREFERENCE: Level A-C (Strong Written and Spoken English Required)
• REGION PREFERENCES: Any

What we offer

• Competitive rates
• Weekly payments
• Various open roles are available
• Free training and upskilling
• Constant support and guidance
• A vibrant community always ready to support you
• And more!

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we...

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we...

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. As a Research Engineer, you’ll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.

You’ll take a research question (how do we measure whether a model can do this work, and how do we make that measurement reproducible?) and turn it into a scoring framework, an evaluation architecture, or an environment design, then ship the production system that runs it. This role doesn’t hand specifications to someone else to build, and it doesn’t only build what others have specified. It’s a fit for someone who wants to design the approach and write the code that proves it out.

Depending on level, the role reports to the Lead Research Engineer or, at Principal, directly to the VP of Research.

What You’ll Do

• Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
• Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
• Write and ship the production code that implements your designs
• Build and maintain the data pipelines that feed evaluation runs
• Run the analysis that establishes whether a result holds, and make evaluations reproducible
• Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform

What We Need

• Production-quality code written daily; this is a hard requirement
• Python & ML Stack: Fluency in Python and comfort across the modern ML stack
• Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
• Agentic Systems: Hands-on experience with modern agentic flows
• RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated; we weigh this more heavily than years of experience
• A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

_AI Interviewing Guidelines:_

Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey._ _Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.__Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. As a Research Engineer, you’ll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.

You’ll take a research question (how do we measure whether a model can do this work, and how do we make that measurement reproducible?) and turn it into a scoring framework, an evaluation architecture, or an environment design, then ship the production system that runs it. This role doesn’t hand specifications to someone else to build, and it doesn’t only build what others have specified. It’s a fit for someone who wants to design the approach and write the code that proves it out.

Depending on level, the role reports to the Lead Research Engineer or, at Principal, directly to the VP of Research.

What You’ll Do

• Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
• Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
• Write and ship the production code that implements your designs
• Build and maintain the data pipelines that feed evaluation runs
• Run the analysis that establishes whether a result holds, and make evaluations reproducible
• Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform

What We Need

• Production-quality code written daily; this is a hard requirement
• Python & ML Stack: Fluency in Python and comfort across the modern ML stack
• Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
• Agentic Systems: Hands-on experience with modern agentic flows
• RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated; we weigh this more heavily than years of experience
• A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

_AI Interviewing Guidelines:_

Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey._ _Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.__Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

About Invisible

Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.

Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.

Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.

Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.

About The Role

Invisible is building a reinforcement learning capability inside its research organization, focused on evaluation methodology, benchmarks, and RL environments for frontier labs and enterprise clients. As a Research Engineer, you’ll work on how frontier models are measured, meaning the evaluations that labs and enterprises actually make decisions on, with direct influence over the methodology and not just its implementation.

You’ll take a research question (how do we measure whether a model can do this work, and how do we make that measurement reproducible?) and turn it into a scoring framework, an evaluation architecture, or an environment design, then ship the production system that runs it. This role doesn’t hand specifications to someone else to build, and it doesn’t only build what others have specified. It’s a fit for someone who wants to design the approach and write the code that proves it out.

Depending on level, the role reports to the Lead Research Engineer or, at Principal, directly to the VP of Research.

What You’ll Do

• Design benchmarks and RL environments that measure real model capability for frontier labs and enterprise clients
• Originate evaluation methodology and translate it into scoring frameworks, rubrics, and evaluation architectures
• Write and ship the production code that implements your designs
• Build and maintain the data pipelines that feed evaluation runs
• Run the analysis that establishes whether a result holds, and make evaluations reproducible
• Partner with Research Scientists on methodology review, with Solutions Architects on client requirements, and with ML software engineers who build and maintain the underlying platform

What We Need

• Production-quality code written daily; this is a hard requirement
• Python & ML Stack: Fluency in Python and comfort across the modern ML stack
• Evaluation & Infrastructure: Real experience building evaluation systems, RL environments, or training and inference infrastructure
• Agentic Systems: Hands-on experience with modern agentic flows
• RL & Frontier Evaluation: Familiarity with reinforcement learning methods and how frontier models are evaluated; we weigh this more heavily than years of experience
• A track record of turning ambiguous research questions into working systems, and publishing or shipping the result

You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.

*Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It’s Like to Work at Invisible:

At Invisible, we’re not just redefining work—we’re reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what’s possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won’t just execute tasks—you’ll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI.

We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We’re not for everyone, and we’re okay with that. If you’re looking for predictable routines, this isn’t the place for you. But if you’re driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you’ll fit right in.

Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process.

_AI Interviewing Guidelines:_

Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we’ve outlined expectations for using it ethically throughout your interview journey._ _Click here to learn more about how we use AI and our guidelines for candidates.

Accessibility Statement:We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request.__Here is the link the google form: https://docs.google.com/forms/d/e/1FAIpQLScqsu0PCQ0m0lwt-VFeXovNbZxWk0jogv8QI_ciGqZsIbSBjQ/viewform?usp=sharing&ouid=102356854798492362557

Equal Opportunity Statement: We’re an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

Headquarters: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.

Apply at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace 
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

ML Systems & Performance Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Alwin Peng
• Zygi Straznickas

Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.

For a past example of an engineering-heavy project, see:

• AI agents find $4.6M in blockchain smart contract exploits

Projects in this workstream may include:

• Building a CPU simulator for accelerator workloads
• Adding backends for different accelerators on an open source project
• Building on demand infrastructure for other infrastructure heavy fellows projects 
• Building complex synthetic data or environment pipelines

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

You may be a good fit if you

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Candidates must be

• Fluent in Python programming
• Available to work full-time on the Fellows program

Reinforcement Learning Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Ruhua Jiang
• Kaidi Cao
• Sunny Duan
• David Brandfonbrener
• Colt Steele
• Dino Distefano
• Will Williams

Projects in this workstream may include:

• Building model-based tools to better understand AI training data and improve training data quality
• A research project to better understand generalization
• Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
• Building RL environments for safety-related tasks
• Conducting research and implementing solutions in areas such as RL algorithms

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in SF. We are also open to remote fellows in the UK, US, or Canada. 

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

To apply: https://weworkremotely.com/remote-jobs/anthropic-anthropic-fellows-program-ml-systems-reinforcement-learning

Headquarters: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.

Submit your application to the Economics & Policy workstream at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

The Anthropic Institute Fellows (Economics & Policy)

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Economics
• Maxim Massenkoff
• Peter McCrory
• Policy, Security, and Society
• Jack Clark
• Marina Favaro
• Jim Baker

Projects in this workstream may include:

• Designing and conducting empirical research on AI's economic effects, drawing on external data sources
• Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
• Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
• Measuring the extent to which model performance increases with custom harnesses
• Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems
• Identifying which metrics relating to AI R&D could serve as early warning signals for recursive self-improvement

For past project examples, see:

• How AI Impacts Skill Formation: Judy Shen and Alex Tamkin
• Stress-Testing Model Specs Reveals Character Differences among Language Models: Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have an interest in economics or policy research; prior experience in this area is a plus but not required
• Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
• Are skilled at writing up and communicating your results, even when they're null or unexpected
• Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy

You may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into AI research and would be interested in a full-time role at Anthropic
• Strong track record of empirical research
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

Logistics - Fellows Program

Submit your application to the Anthropic Institute Fellows at the bottom of this page.

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in SF. We are also open to remote fellows in the UK, US, or Canada. 

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

 

 

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

To apply: https://weworkremotely.com/remote-jobs/anthropic-anthropic-fellows-program-the-anthropic-institute-economics-policy

Natera is seeking an Associate Director to lead a team of Bioinformatics Scientists in our Women’s Health and Organ Health research organization. You will oversee the scientific planning and execution...

Position Summary We are seeking a strategic, analytical, and highly collaborative leader to serve as ourAssociate Director/Senior Manager of Health Economics & Outcomes Research(HEOR) Oncology. In this high-impact role, you...