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Anthropic Fellows Program 2026: Funding and Mentorship for AI Safety Research

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Anthropic Fellows Program 2026: Funding and Mentorship for AI Safety Research

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Are you passionate about AI safety and ready to dive into cutting-edge research? The Anthropic Fellows Program 2026 offers a chance for talented individuals to gain hands-on experience with funding and expert guidance. This program supports promising researchers and engineers in building skills that make AI safer for everyone.

What Is the Anthropic Fellows Program?

The Anthropic Fellows Program 2026 aims to grow talent in AI research and engineering. It provides funding and mentorship to people at different experience levels. Fellows focus on empirical projects using tools like open-source models and public APIs. These projects align with Anthropic’s goals and often lead to public outputs, such as research papers. In past groups, more than 80% of fellows published papers.

Fellows work full-time for four months. They get access to shared workspaces in Berkeley, California, or London, UK. The program connects participants to the wider AI safety and security community.

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Available Workstreams

Anthropic has expanded the program across several teams. Skills often overlap, so applicants are considered for multiple options by default. You can list preferences in your application, and some streams may have extra assessment steps.

Here are the main workstreams:

  • AI Safety Fellows: Focus on research to ensure AI systems are safe.
  • AI Security Fellows: Tackle security challenges in AI development.
  • ML Systems & Performance Fellows: Improve machine learning systems for better performance.
  • Reinforcement Learning Fellows: Explore advanced training methods for AI.
  • Economics & Societal Impacts Fellows: Study how AI affects society and economies.

Key Benefits

This program comes with strong support to help you succeed:

  • Four months of full-time research with direct mentorship from Anthropic experts.
  • Weekly stipend: $3,850 USD, £2,310 GBP, or C$4,300 CAD, plus country-specific benefits.
  • Up to $15,000 per month for compute resources and other research costs.
  • Workspace in top locations and links to the AI research network.

These perks let fellows focus on their projects without money worries.

Who Can Apply?

You need to meet basic requirements:

  • Be fluent in Python programming.
  • Available for full-time work during the program.

Strong applicants often have:

  • Background in fields like economics, social sciences, or cybersecurity for certain streams.
  • Experience in research or engineering related to the workstream.

The program fits people who:

  • Care about safe and helpful AI for society.
  • Want to shift into empirical AI research and consider full-time roles at Anthropic.
  • Hold technical skills in computer science, math, or physics.
  • Work well in fast-paced teams and share ideas clearly.

Application Details

Anthropic reviews applications on a rolling basis for cohorts throughout the year. This round targets starts in July 2026 and later. The next cohort begins July 20, 2026. Submit by April 26, 2026, for consideration.

Apply now. For full details, check the official program page.

Frequently Asked Questions

What is the Anthropic Fellows Program?

The program offers funding and mentorship for talented researchers and engineers to work on AI safety projects full-time for four months. Fellows use tools like open-source models and often publish research papers.

What workstreams are available?

Options include AI Safety, AI Security, ML Systems & Performance, Reinforcement Learning, and Economics & Societal Impacts. Applicants can list preferences and are considered for multiple streams.

What benefits do fellows receive?

Fellows get a weekly stipend, up to $15,000 monthly for compute and research costs, workspaces in Berkeley or London, and mentorship from Anthropic experts.

How can I apply to the program?

Submit your application by April 26, 2026, for the July 20, 2026 cohort via the official link. Applications are reviewed on a rolling basis.

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