Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
at Anthropic
📍 Canada
📍 United States
📍 London, United Kingdom
📍 Berkeley, United States
📍 San Francisco, United States
📍 United States
📍 London, United Kingdom
📍 Berkeley, United States
📍 San Francisco, United States
USD 200,200 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API
Mathematics @ 6
Python @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s Fellows Program supports promising technical talent through funding and mentorship in empirical AI research. Fellows primarily use external infrastructure, such as open-source models and public APIs, to work on projects aligned with Anthropic’s research priorities and produce a public output, such as a paper submission.
Responsibilities
- Conduct empirical research on AI’s economic effects using external data sources.
- Develop methodological approaches for studying AI’s impact on labor markets, the future of work, and society.
- Analyze the offense–defense balance for AI-enabled cyber and bio capabilities as models scale.
- Measure how model performance increases with custom harnesses.
- Identify market-driven mechanisms that could improve societal resilience to anticipated AI-related threats.
- Identify metrics related to AI research and development that could serve as early warning signals for recursive self-improvement.
- Write up and clearly communicate research results, including null or unexpected findings.
- Translate research insights into actionable recommendations for improving AI systems and informing policy.
- Participate in project selection, mentor matching, technical assessments, interviews, and a research discussion.
Requirements
- Strong technical background in computer science, mathematics, or physics.
- Fluency in Python programming.
- Availability to work full-time for the Fellows Program.
- Motivation to help ensure that AI is safe and beneficial for society.
- Ability to implement ideas quickly and communicate clearly.
- Ability to work adaptably and collaboratively, taking direction and contributing to team priorities.
- Interest in economics or policy research; prior experience is a plus but not required.
- Work authorization in, and physical location during the program within, the United States, United Kingdom, or Canada.
Program Details
- Four months of full-time research, with a possible extension.
- Direct mentorship from Anthropic researchers.
- Access to shared workspaces in Berkeley, California, or London, United Kingdom.
- Remote participation is available in the United Kingdom, United States, or Canada.
- Funding for compute of approximately $15,000 per month and other research expenses.
- The cohort is expected to start November 2, with some flexibility for alternative start dates.
- Anthropic does not currently sponsor visas for Fellows; participants must already have or independently obtain full-time work authorization.
- The program does not guarantee a subsequent full-time offer.
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