The Anthropic Fellows Program in UK, USA, Remote at Anthropic 2026

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Call for  The Anthropic Fellows Program 2026 is open now!!!

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. They want AI to be safe and beneficial for their users and for society as a whole. their team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

The Anthropic Fellows Program is designed to foster AI research and engineering talent. They provide funding and mentorship to promising technical talent -regardless of previous experience.

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Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with their research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. They run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

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1. Youth Opportunities: https://m.me/j/AbZTmgEzD1UchDte/
2. Fully Funded Conferences: https://m.me/j/AbZTfhFTiPCnXf2D/
3. Full Scholarships: https://m.me/j/AbbrjbkOMM6I68Cs/
4. Paid Internships/Jobs: https://m.me/j/AbaAskb6jFFnRser/
5. Circle: https://m.me/j/AbY0vVKSPJULUnE4/

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. They expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; Anthropic therefore ask candidates for workstream preferences in the application. They can see an overview of the current workstreams below:

• AI Safety Fellows
• AI Security Fellows
• ML Systems & Performance Fellows
• Reinforcement Learning Fellows
• Economics & Societal Impacts Fellows

They believe that the highest-impact AI research will be big science. At Anthropic they work as a single cohesive team on just a few large-scale research efforts. And they value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. They view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. They are an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, they greatly value communication skills.

The easiest way to understand their research directions is to read our recent research. This research continues many of the directions their team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.