Anthropic Fellows Program for AI safety research: applications open for May & July 2026

AI Startup

On-siteOn-siteContract$140k – $220k / year

About this role

Anthropic Fellows Program for AI safety research: applications open for November 2026 Anthropic Fellows Program for AI safety research: applications open for November 2026 ”This is an exceptional opportunity to join AI safety research, collaborating with leading researchers on one of the world's most pressing problems." — Jan Leike --- The Anthropic Fellows program provides funding and Anthropic mentorship for engineers and researchers to investigate some of Anthropic’s highest priority AI safety research questions. In our first cohort, over 80% of fellows produced papers, including on agentic misalignment, subliminal learning, rapid response to new ASL3 jailbreaks, and open-source circuits. Over 40% of the fellows subsequently joined Anthropic full-time. Applications for our November cohort close on July 26. You can apply here. In our recent cohorts, we’ve expanded the program to work with more fellows across a wider range of safety research areas—including scalable oversight, adversarial robustness and AI control, model organisms, mechanistic interpretability, AI security, and model welfare. Below, we share more about what the program looks like in practice, and how interested candidates can apply. What fellows work on Fellows work for 4 months on empirical research questions aligned with Anthropic’s overall research priorities, with the aim of producing public outputs, like a paper. Anthropic mentors ‘pitch’ their project ideas to fellows, who choose and shape their project in close collaboration with their mentors. Here are a few examples from previous cohorts: Security Fellows have worked on mitigating risks from AI systems being misused for cyberattacks—exploring both how LLMs might enable adversaries to automate attacks that currently require skilled human operators, and how to rapidly defend against novel jailbreaks. Our fellows developed agents that identified 4.6M USD in blockchain smart contract vulnerabilities and discovered two

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