Anthropic Fellows Program — Economics
Conduct empirical research on AI's economic impacts, labor markets, and societal effects using external data and Python. Produce public outputs under mentorship, focusing on AI safety and policy recommendations; 4-month full-time program open to varying experience levels.
About the job
Responsibilities
- Design and conduct empirical research on AI's economic effects, drawing on external data sources.
- Develop new methodological approaches for studying AI's impact on labor markets, future of work, and society.
- Work on an empirical project aligned with research priorities, producing a public output (e.g., paper submission).
- Undergo project selection and mentor matching with economists like Maxim Massenkoff or Peter McCrory.
Requirements
- Fluent in Python programming.
- Strong technical background in computer science, mathematics, or physics.
- Motivated by AI safety and societal benefit.
- Available full-time for 4 months.
- Work authorization in US, UK, or Canada; located in that country during program.
- Interest in economics or societal impact research (prior experience a plus).
- Adaptable, collaborative, skilled at writing up and communicating results.
- Passionate about translating research into actionable recommendations for AI systems and policy.
Nice-to-Haves
- Strong background in economics, social sciences.
- Experience in research or engineering related to economics/societal impacts.
Compensation
- Weekly stipend: $3,850 USD / £2,310 GBP / C$4,300 CAD (40 hours/week for 4 months).
- Funding for compute (~$15k/month) and other research expenses.
- Benefits (vary by country).
Skills
Python, Empirical Research, Economics, Data Analysis, Statistical Methods, Labor Market Analysis, Research Writing, Ai Safety, External Data Sources, Methodological Development
Similar jobs
AI Research jobs
OpenAI
San Francisco, CA
Researcher developing and publishing mechanistic interpretability techniques, building infrastructure to study model internals, and guiding alignment-focused research. Requires research experience in machine learning or a related field, strong engineering skills, and proficiency in Python or similar languages.
Perplexity
San Francisco, CABuild and evolve the agent harness powering Perplexity’s flagship answer experience, improving orchestration, context management, performance, reliability, observability, and evaluation. The role requires strong software engineering skills, Python proficiency, and experience shipping large-scale AI systems.
Fireworks AI
San Mateo, CAConduct foundational research on LLMs and multimodal systems, designing architectures and training methods and helping move prototypes into production. The role targets PhD researchers graduating by December 2026 with strong machine-learning research and programming experience.
Applied Intuition
Sunnyvale, CA
Research Engineer developing and deploying machine-learning algorithms for autonomous driving and robotics systems. The role targets recent MS or PhD graduates with experience in areas such as foundation models, diffusion policies, reinforcement learning, computer vision, and robotics.
GrayMatter Robotics
Los Angeles, CA
Conduct research and develop foundation models for robotic manipulation and high-precision manufacturing, taking projects from data curation through deployment on industrial robots. The role requires current PhD study, strong Python and deep learning expertise, robotics simulation experience, and research in foundation models.