Remote AI Research Fellowship - 4 Months, Mentored & Funded

Anthropic Limited

San Francisco (CA)

Remote

CAD 174,000 - 217,000

Full time

48 hours ago
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Benefits offered by this job

Remote work options in eligible geos

Job summary

Anthropic Limited is seeking fellows for a 4-month, full-time program in economics and policy research. Fellows will use external data and public APIs to conduct empirical studies, under direct mentorship from Anthropic researchers.

The program emphasizes rigorous analysis, collaboration across disciplines, and translating results into policy-relevant insights. You will work in a fast-paced, supportive environment with weekly stipends and access to compute resources, aiming to contribute to

Qualifications

  • Interest in economics or policy research; prior experience a plus but not required.
  • Adaptable and collaborative, able to contribute to team priorities.
  • Strong written communication of results, including null findings.

Responsibilities

  • Design and conduct empirical research on AI's economic effects using external data sources.
  • Develop methodological approaches for studying AI's impact on labor markets and society.
  • Assess policy implications of AI developments and provide actionable insights.
  • Identify metrics related to AI R&D and potential early warning signals.
  • Collaborate with mentors and researchers across economics, policy, and security.

Skills

Python programming
Empirical research
Writing & communication
Collaboration

Education

Bachelor's degree or equivalent

Job description

Anthropic Limited is seeking fellows for a 4-month, full-time program in economics and policy research. Fellows will use external data and public APIs to conduct empirical studies, under direct mentorship from Anthropic researchers.

The program emphasizes rigorous analysis, collaboration across disciplines, and translating results into policy-relevant insights. You will work in a fast-paced, supportive environment with weekly stipends and access to compute resources, aiming to contribute to

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