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Optimizes AI model serving, kernel performance, and inference architectures to improve the efficiency and responsiveness of advanced AI systems.
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.
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.
Analyze crypto market trends, on-chain and venue data, trader behavior, and opportunities to guide Pyth’s product and business strategy.
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.
Leads AI-native market research efforts, guiding research strategy and delivering insights to support product and business decisions.
Leads AI-native market research programs, generating user and market insights to guide product and business decisions.
Monitors pharmaceutical news and clinical-trial developments, maintains research databases, and supports competitive intelligence workflows with AI tools.
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.
\*\*\******************************************************************
Independent Contractor – CPT-11534 Pharmaceutical Research & Competitive Intelligence Virtual Assistant/Business Support VA/Junior-Advanced Level (Remote).
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.
Contractors will be required to provide services that align with the following client tasks:
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.
The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements:
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.
Conducts mentored AI research projects in machine learning systems and reinforcement learning, producing empirical findings and public research outputs.
Headquarters: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
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.
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.
The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.Â
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.
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).
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
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:
Projects in this workstream may include:
You might be a particularly great fit for this workstream if you:
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Projects in this workstream may include:
You might be a particularly great fit for this workstream if you:
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.Â
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.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:Â 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:Â 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.
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.
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.
Conducts four months of mentored AI economics and policy research using external models and infrastructure to produce public research outputs.
Headquarters: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
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.
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.
The interview process will include an initial application & reference check, assessments & interviews, and a research discussion.Â
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.
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).
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Projects in this workstream may include:
For past project examples, see:
You might be a particularly great fit for this workstream if you:
Submit your application to the Anthropic Institute Fellows at the bottom of this page.
Logistics Requirements:Â 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.Â
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.
Â
Â
The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:Â 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:Â 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.
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.
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.
Leads data science and AI initiatives to transform organizational workflows, mentors a team, and builds scalable models on GCP from research through production.
About Us:
TMB is the community-driven entertainment company engaging more than 250 million consumers worldwide across streaming TV, social media, web, and print. Our portfolio of brands including FailArmy, Family Handyman, People Are Awesome, Reader’s Digest, Taste of Home, The Healthy, and The Pet Collective, is powered by content that’s inspired and created by our fans. Together our community sparks curiosity, fuels laughter, and inspires people to live big, full, fantastic lives. Learn more about our brands, our data-driven marketing solutions, our award-winning licensing services, and much more at trustedmediabrands.com.
Location:
We have offices in New York, Los Angeles, Milwaukee, and Gurgaon. This position will be based in the Gurgaon, India and can work remotely within India.
About the role:
TMB is looking for a Director of Data Science & AI to lead the team and efforts to turn data into decisions, deliver scalable intelligence that drives personalized experiences and business outcomes, and lean into AI and Automation where it makes sense. You understand how business users think, what friction looks like in real workflows, and how to communicate technical solutions in ways that land with non-technical users.
Your primary mission is to bridge the gap between what’s technically possible and what’s practically useful. This is a hands-on leadership role: you’ll set the technical direction, but you’ll also be in the data, in the model reviews, and building alongside your team when it counts. We need someone fluent in Google Cloud Platform (BigQuery, Vertex AI, and broader GCP ecosystem), has strong data science capabilities and the grit to take ideas from research to production.
You are a fast learner who is comfortable in ambiguity, energized by solutioning, and motivated by seeing your work drive real adoption across the organization. You’ll spend your time championing smarter ways of working and helping both technical and non-technical teammates integrate AI into their everyday work, not as a disruption, but as a natural extension of how they already operate.
Your day-day: (aka Responsibilities)
You have: (aka Qualifications)
About this team:
The Data Science team is a small but mighty group sitting at the center of the organization. We’re a centralized team, which means we work across nearly every department: from Marketing and Creative to BI, Engineering, Product, and beyond. If there’s a workflow to improve, a tool to build, or a data problem worth solving, chances are we’re involved.
Our work is practical by design. We build internal tools and data products that make real work easier, not to chase trends, but because the right solution at the right moment can meaningfully change how an entire team operates. We use AI where it genuinely helps, and we’re skeptical of hype for its own sake. That pragmatic instinct is part of what makes us effective.
As a team, we move fast and stay scrappy. We’re not a big org with lengthy approval chains. We prototype, iterate, and ship. We collaborate constantly, both within the team and across the business, and we’re at our best when we’re working alongside stakeholders to understand their problems firsthand rather than solving in a vacuum.
If you’re joining us, you’re joining a team that values curiosity, initiative, and craft. Our team genuinely believes the most impactful data work happens when technical depth meets real business context.
Our Benefits:
We value our people and offer a collaborative and engaging culture. As a Trusted Media Brands employee, you will enjoy work/life balance, generous time off and comprehensive benefits and programs. Learn more about what life is like working at Trusted Media Brands at https://www.trustedmediabrands.com/careers/.
India specific benefits
Trusted Media Brands embraces inclusivity and values our diverse community. We are committed to building a team based on qualifications, merit and business need. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This role is offered by TMB through Jukin Media India Private Limited.
#LI-Remote
#LI-GH1
Conduct competitive intelligence research and manage external beta programs through structured interviewing and synthesis to inform product strategy.
Clever is on a mission to connect every student to a world of learning. As the leading identity platform for education, more than 111,000 schools worldwide use Clever to power secure digital learning experiences. With Clever’s layered security solutions, schools can protect access and identities for all staff, teachers, and students. With a secure identity platform for schools and a network of leading application providers, Clever is committed to advancing education with technology that works for students everywhere. Clever, a Kahoot! company, has an office in San Francisco, CA, but you can visit us at clever.com anytime.
Clever is building out our AI strategy and needs a contract Product Marketing Manager to up-level our competitive intelligence program and stand up an external beta. This is an analyst/researcher role, not a campaign or launch position: the core of the job is structured interviewing, competitive research, and synthesis into a clear point of view that Product, Engineering, and Marketing leadership can act on. You’ll work in lock-step with Product and Engineering as they define external use cases for the platform, and your output becomes the foundation for Clever’s 2027 go-to-market in this space.
ENGAGEMENT DETAILS:
This is a temporary role best suited for someone who can manage their time independently while collaborating closely with established teams.
Contract Dates: ASAP start – January 15, 2027
Commitment: Part-time, 20 hrs/week
Location: Anywhere in the U.S. (remote)
Compensation: $85/hour
WHAT YOU’LL OWN:
WHAT WE’RE LOOKING FOR:
WHAT SUCCESS LOOKS LIKE:
Clever does not conduct interviews via text or Telegram. We will never ask for your financial information or reimbursement of equipment of any kind. If you receive any communications regarding employment with Clever that you think might be a scam, please email recruitingscam@clever.com.
If you are a resident of Colorado, please note you have the right to redact your age-related information like age, birth date, or dates of schooling.
Conduct structured competitive intelligence research and win-loss interviews while recruiting and managing external beta partners to inform product strategy.
Clever is on a mission to connect every student to a world of learning. As the leading identity platform for education, more than 111,000 schools worldwide use Clever to power secure digital learning experiences. With Clever’s layered security solutions, schools can protect access and identities for all staff, teachers, and students. With a secure identity platform for schools and a network of leading application providers, Clever is committed to advancing education with technology that works for students everywhere. Clever, a Kahoot! company, has an office in San Francisco, CA, but you can visit us at clever.com anytime.
Clever is building out our AI strategy and needs a contract Product Marketing Manager to up-level our competitive intelligence program and stand up an external beta. This is an analyst/researcher role, not a campaign or launch position: the core of the job is structured interviewing, competitive research, and synthesis into a clear point of view that Product, Engineering, and Marketing leadership can act on. You’ll work in lock-step with Product and Engineering as they define external use cases for the platform, and your output becomes the foundation for Clever’s 2027 go-to-market in this space.
ENGAGEMENT DETAILS:
This is a temporary role best suited for someone who can manage their time independently while collaborating closely with established teams.
Contract Dates: ASAP start – January 15, 2027
Commitment: Part-time, 20 hrs/week
Location: Anywhere in the U.S. (remote)
Compensation: $85/hour
WHAT YOU’LL OWN:
WHAT WE’RE LOOKING FOR:
WHAT SUCCESS LOOKS LIKE:
Clever does not conduct interviews via text or Telegram. We will never ask for your financial information or reimbursement of equipment of any kind. If you receive any communications regarding employment with Clever that you think might be a scam, please email recruitingscam@clever.com.
If you are a resident of Colorado, please note you have the right to redact your age-related information like age, birth date, or dates of schooling.
Leads robotics research team in developing data foundations and systems for robot learning and AI-driven robotics.
Conduct 4-month AI safety and security research projects under mentorship from Anthropic researchers, with goal of producing peer-reviewed papers or public outputs.
Headquarters: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
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.
Applications are currently closed, we will update this page when they re-open.
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.
The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion.Â
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.
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).
Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.
Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:
This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Our mentors will lead projects in select AI safety research areas, such as:
On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:
For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.
You might be a particularly great fit for this workstream if you:
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
On our Alignment Science and Frontier Red Team blogs, you can read about some past Fellows projects, including:
You might be a particularly great fit for this workstream if you:
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 London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.
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.
Applications and interviews are managed by Constellation, our recruiting partner. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities-focused projects in future rounds.
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Applications are currently closed, we will update this page when they re-open.
The below are Anthropic's policies for full-time roles. These do NOT apply to the Fellows Program.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:Â 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:Â 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.
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.
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-ai-safety-security
Conducts qualitative market research analysis, manages research projects from design through reporting, and synthesizes consumer insights to support client deliverables.
Location: Remote
Overview
Collage Group is the only cultural intelligence engine that fuses consumer, industry, and brand data to provide brands with insights on the why behind consumers’ behaviors – so they can act quickly to fuel revenue and brand growth. Powered by 28B points of data and AI workflows, we’re helping 250+ of the world’s largest brands to win.
Collage Group is seeking a QualitativeResearch Analyst to join our Custom Insights market research team in our mission to help organizations unleash the power of culture to drive brand growth.
This is a multi-functional role conducting custom consumer and market research across multiple segments. As a Research Analyst, you will support key research project execution tasks, including analysis, report writing, project coordination, and recruitment/fielding support. In this role you will also leverage Collage’s intellectual assets, including breakthrough insights, strategies, and best practices to provide a complete picture of America’s fastest-growing, most influential consumers.
Note: This is a Market Research position and not a business analyst, UX research, or evaluation research role.
Responsibilities
Experience
Compensation $60,000 + Bonus
Invested in Your Well-Being:
We don’t just hire employees; we invest in people. Your health is our priority, which is why we offer premium medical, dental, and vision coverage for you and your loved ones. We believe in a life outside of work, supported by a generous PTO program that includes 12 company holidays, a floating holiday, and a dedicated day for you to give back to a cause you love. We’re also proud to support growing families with 8 weeks of fully paid parental leave for all parents, regardless of path to parenthood. Finally, we help you build for tomorrow with a competitive 401(k) match—because your future is just as important as your present.
Details regarding our Benefits can be found on our Careers Page.
All full time direct employees must be authorized to work in the United States, and must be US-based. Please note that while we are happy to hire remote unless otherwise stated in the job description, we are only able to employ people in the following US States: CA, CO, CT, FL, GA, IL, IN, KS, MD, MA, MN, MO, NJ, NY, NC, OH, PA, RI, TN, TX, VA and DC.
Important: If you have not interviewed directly with an authorized representative of Collage and you receive a job offer, do not respond or provide any personal information. This is likely a fraudulent attempt. Collage will never request sensitive information (such as your Social Security number, banking details, or passwords) before a formal interview process.
About Us: Collage is the only AI-enabled cultural intelligence engine that provides brands with curated, actionable, cultural insights to accelerate revenue growth. Only Collage fuses consumer, brand and industry insights from 26 billion primary data points to provide brands with unparalleled depth of insights on the why behind consumers’ behaviors. The combination of the always-on, easy to use, updated daily tech platform with the best-in-class cultural strategists provides a unique competitive advantage for the world’s leading brands. Collage enables marketers and insights professionals to futureproof their brands, identify and win with the fastest-growing segments, increase brand resonance and loyalty, and authentically activate across all the marketing levers. Founded in 2009, culture has always been at the company’s core. Collage is a National Minority Supplier Development Council (NMSDC) certified minority-owned small business.
Collage Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Conducts qualitative and quantitative market research, analyzes consumer data, writes reports, and manages research project logistics for custom insights delivery.
Location: Remote
Overview
Collage Group is the only cultural intelligence engine that fuses consumer, industry, and brand data to provide brands with insights on the why behind consumers’ behaviors – so they can act quickly to fuel revenue and brand growth. Powered by 28B points of data and AI workflows, we’re helping 250+ of the world’s largest brands to win.
Collage Group is seeking a QualitativeResearch Analyst to join our Custom Insights market research team in our mission to help organizations unleash the power of culture to drive brand growth.
This is a multi-functional role conducting custom consumer and market research across multiple segments. As a Research Analyst, you will support key research project execution tasks, including analysis, report writing, project coordination, and recruitment/fielding support. In this role you will also leverage Collage’s intellectual assets, including breakthrough insights, strategies, and best practices to provide a complete picture of America’s fastest-growing, most influential consumers.
Note: This is a Market Research position and not a business analyst, UX research, or evaluation research role.
Responsibilities
Experience
Compensation $60,000 + Bonus
Invested in Your Well-Being:
We don’t just hire employees; we invest in people. Your health is our priority, which is why we offer premium medical, dental, and vision coverage for you and your loved ones. We believe in a life outside of work, supported by a generous PTO program that includes 12 company holidays, a floating holiday, and a dedicated day for you to give back to a cause you love. We’re also proud to support growing families with 8 weeks of fully paid parental leave for all parents, regardless of path to parenthood. Finally, we help you build for tomorrow with a competitive 401(k) match—because your future is just as important as your present.
Details regarding our Benefits can be found on our Careers Page.
All full time direct employees must be authorized to work in the United States, and must be US-based. Please note that while we are happy to hire remote unless otherwise stated in the job description, we are only able to employ people in the following US States: CA, CO, CT, FL, GA, IL, IN, KS, MD, MA, MN, MO, NJ, NY, NC, OH, PA, RI, TN, TX, VA and DC.
Important: If you have not interviewed directly with an authorized representative of Collage and you receive a job offer, do not respond or provide any personal information. This is likely a fraudulent attempt. Collage will never request sensitive information (such as your Social Security number, banking details, or passwords) before a formal interview process.
About Us: Collage is the only AI-enabled cultural intelligence engine that provides brands with curated, actionable, cultural insights to accelerate revenue growth. Only Collage fuses consumer, brand and industry insights from 26 billion primary data points to provide brands with unparalleled depth of insights on the why behind consumers’ behaviors. The combination of the always-on, easy to use, updated daily tech platform with the best-in-class cultural strategists provides a unique competitive advantage for the world’s leading brands. Collage enables marketers and insights professionals to futureproof their brands, identify and win with the fastest-growing segments, increase brand resonance and loyalty, and authentically activate across all the marketing levers. Founded in 2009, culture has always been at the company’s core. Collage is a National Minority Supplier Development Council (NMSDC) certified minority-owned small business.
Collage Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Conducts market research and interviews with clients on a project-by-project basis for contract work.
