About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim for AI to be safe and beneficial for users and society. Our team is a growing group of researchers, engineers, policy experts, and business leaders collaborating to build beneficial AI systems.

Apply using this link. The next cohort of Anthropic fellows starts on July 20, 2026. Apply by May 3, 2026 EOD PST to be considered for this cohort. We will continue accepting applications for later cohorts on a rolling basis. In exceptional circumstances, we may accommodate fellows starting outside of usual cohort timelines.

This page is specific to one of the Anthropic Fellows Workstreams. See the main Anthropic Fellows posting.

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 prior 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 past cohorts, a large share of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

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

Interview process

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

We encourage you to apply even if you do not meet every qualification. Not all strong candidates meet every qualification. We value diverse perspectives and encourage applicants from underrepresented groups to apply.

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).

Fellows workstreams

We are expanding the Anthropic Fellows program across teams. There may be overlap in skills and responsibilities across workstreams, and candidates will be considered for all workstreams. Some workstreams may have unique assessment steps; please indicate workstream preferences in the application.

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams. See the main Anthropic Fellows posting.

Across the workstreams, you may be a good fit if you:

• Are motivated by making AI safe and beneficial for society
• Are excited to transition into empirical AI research and seek 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

Strong candidates may also have:

• Background in a discipline relevant to a specific Fellows workstream (e.g., economics, social sciences, or cybersecurity)
• Experience in research or engineering related to their workstream

Candidates must be:

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

The Anthropic Institute Fellows (Economics & Policy)

Mentors, research areas, & past projects

Fellows will undergo a project selection and 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 using 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 whether model performance increases with custom harnesses
• Identifying market-driven mechanisms to improve societal resilience to AI threats
• Identifying metrics relating to AI R&D that 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 strong fit for this workstream if you:

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

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 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 able to sponsor visas for fellows. To participate, you need to have or independently obtain full-time work authorization in the UK, US, or Canada.

Program duration: The program runs for 4 months, full-time. If you cannot 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 full-time offers to fellows. Strong performance during the program may indicate suitability for full-time roles at Anthropic. In previous cohorts, 25–50% of fellows received a full-time offer, and many others have gone on to do great work in AI safety and security elsewhere.

Applications and interviews are managed by Constellation, our official recruiting partner. Constellation also runs the Berkeley workspace that hosts fellows. Clicking "Apply here" will redirect you to Constellation's application portal. You can expect to receive emails from Constellation with updates.

Apply

Apply here

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

Minimum education

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

Required field of study

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

Minimum years of experience

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

Location-based hybrid policy

Currently, all staff are expected to be in an office at least 25% of the time. Some roles may require more time in offices.

Visa sponsorship

We do sponsor visas. If we extend an offer, we will make reasonable efforts to obtain a visa, with support from an immigration lawyer.

Applicant guidance

We encourage you to apply even if you do not meet every qualification. Diversity of perspective is valued, and we urge you to submit an application if you are interested. For guidance on AI usage in our application process, please visit our careers page.