Anthropic AI Safety Fellow

London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Apply using this link. We’re accepting applications on a rolling basis for cohorts starting in July 2026 and beyond. Applications for the May 2026 cohort are now closed.

Anthropic Fellows Program Overview

The Anthropic Fellows Program is designed to accelerate AI safety research and foster research talent. We provide funding and mentorship to promising technical talent - regardless of previous experience - to research the frontier of AI safety for four months. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In our previous cohorts, over 80% of fellows produced papers (more below). We run multiple cohorts of Fellows each year. This application is for cohorts starting in July 2026 and beyond.

What to Expect

Direct mentorship from Anthropic researchers
Access to a shared workspace (in either Berkeley, California or London, UK)
Connection to the broader AI safety research community
Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD & access to benefits (benefits vary by country)
Funding for compute (~$15k/month) and other research expenses

Mentors, Research Areas, & Past Projects

Fellows will undergo a project selection & mentor matching process. Potential mentors amongst others include: Jan Leike, Sam Bowman... [list truncated here] Our mentors will lead projects in select AI safety research areas such as: scalable oversight; adversarial robustness and AI control; model organisms; mechanistic interpretability; AI welfare.

You may be a good fit if you

Are motivated by reducing catastrophic risks from advanced AI systems
Are excited to transition into full-time empirical AI safety research and would be interested in a full-time role at Anthropic

Please note: We do not guarantee that we will make any full-time offers to fellows... Over 40% of fellows received a full-time offer previously.

Have a strong technical background in computer science...
Thrive in fast-paced collaborative environments
Can implement ideas quickly and communicate clearly

Strong candidates may also have:

Experience with empirical ML research projects; working with Large Language Models; experience in mentioned research areas; deep learning frameworks; open-source contributions.

Candidates must be:

Fluent in Python programming; available full-time on the Fellows program for 4 months.

Interview process

Includes initial application & references check; technical assessments & interviews; research discussion.

Compensation

Expected base stipend: 3,850 USD / 2,310 GBP / 4,300 CAD per week for ~40 hours/week over 4 months.

Logistics

Must have work authorization in US/UK/Canada and be located there during program. Shared workspaces in London/Berkeley available. Remote fellows accepted in UK/US/Canada. Visa sponsorship not available. [Further details about application process omitted here.]