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Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

Anthropic
Remote - UK, US, or Canada (optional SF workspace)Updated 20d ago
Compensation
$4k–$4k
Published range
Location
Remote - UK, US, or Canada (optional SF workspace)
Remote eligibility
Employment
Full-time
Mid-level
Role family
Other
AI / ML
Role skills
pythonai
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About the job

3 min read7 sections
About the Program1 min

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 projects aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). We run multiple cohorts of Fellows each year and review applications on a rolling basis.

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)
  • Substantial funding for compute and other research expenses

Research Areas & Mentors

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:

Show the rest of Research Areas & Mentors
  • 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

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:

Show the rest of Candidate Criteria
  • 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

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. We have designated shared workspaces in SF. We are also open to remote fellows in the UK, US, or Canada. Visa sponsorship is not available for fellows. 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.

Compensation1 min

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).

Application1 min

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.

Skills & tags

pythonai
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