Fellows Program, AI Safety & Security
Anthropic · London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA · British Columbia, CA · London, UK · Ontario, CA · Remote-Friendly US (Travel Required) · San Francisco, CA
CHECKED 4H AGO
Frontier labremote
At a glance
Highlights
- Conduct 4-month empirical AI research project aiming for public paper output.
- Work on scalable oversight, adversarial robustness and mechanistic interpretability.
- Explore AI security projects like red-teaming and blockchain exploit discovery.
What they offer
- Direct mentorship from Anthropic researchers
- Access to shared workspace in Berkeley or London
- Compute funding (~$15k/month) and research expenses
- Weekly stipend plus benefits
Ideal candidate
Motivated researcher excited to transition into empirical AI safety work and ensure AI is safe and beneficial. Thrives in fast-paced collaborative environments, implements ideas quickly and communicates clearly.
Requirements
- Fluent in Python programming
- Available to work full-time for 4 months
- Have work authorization in the US, UK, or Canada and be located there during program
- Strong technical background in computer science, mathematics, or physics
- remote policy
- Remote available in US, UK, Canada
- visa sponsorship
- No visa sponsorship
- hiring process
- Initial application & reference check, technical assessments & interviews, and research discussion
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google