Ever wished someone would pay you to dig into one of the biggest problems in AI, even if you don’t have a PhD or a research background? That is basically what Anthropic is offering through its Fellows Program, and most people have never heard of it.

It is a paid, four month research program where you work on real AI safety or AI security problems with mentorship from Anthropic’s own researchers. No published papers required. No PhD required. Just a technical background and a willingness to learn fast. It sits alongside other genuine funded paths we have covered, like finding genuine scholarships and learning opportunities and the fully funded AI safety scholarship in Germany we wrote about recently.

What Is the Anthropic Fellows Program?

The Fellows Program is Anthropic’s way of bringing outside talent into AI safety work without forcing people through the usual academic pipeline. Fellows spend four months on an empirical research project, usually one aimed at a public output like a paper or an open source tool.

Anthropic mentors pitch project ideas first, then fellows pick one and shape it with that mentor’s guidance. The research areas cover scalable oversight, adversarial robustness and AI control, mechanistic interpretability, AI security, model welfare, and a few other tracks including economics and policy. The security track connects closely to the defensive work we covered in Anthropic’s cyber mission.

Past fellows have built agents that find smart contract vulnerabilities, studied how AI models respond to jailbreak attempts, open sourced interpretability research, and investigated how models can pick up strange behaviors from their own training data. It is hands on, not theoretical.

What You Actually Get Paid

This is the part that surprises people. Fellows receive a weekly stipend of roughly 3,850 USD (or the GBP or CAD equivalent) for about 40 hours a week, plus around 15,000 USD a month in compute funding and extra research expenses on top. That is for four months of work, with a possible extension if the project is going well.

You also get direct mentorship from Anthropic researchers, some of whom work on alignment and interpretability full time. For a lot of fellows, that mentorship ends up mattering as much as the money.

Who Can Actually Apply

Here is the part that makes this different from most research fellowships: Anthropic says it values coding ability, comfort working with AI tools, and the motivation to reduce serious AI risks more than it values credentials. No PhD, prior machine learning experience, or publication history is required.

Past fellows have come from physics, math, computer science, and cybersecurity backgrounds, not just machine learning. You do need to be able to work full time for four months and hold work authorization in the US, UK, or Canada, since Anthropic does not sponsor visas for this program.

From my own experience working across websites, cybersecurity, and online tools, this is the kind of program that rewards people who have already been building and shipping things on their own, even without a formal research title. If you have a portfolio of real projects, that often speaks louder than a transcript. If you do not have one yet, our guide on how to build an AI portfolio is a reasonable place to start before you apply.

The Numbers Behind the Program

Anthropic’s own data on this program, published on its Alignment Science blog, is worth knowing before you apply. More than 200 fellows have gone through it since early 2025. Over 65 percent of past fellows have published work that came directly out of their fellowship. More than 35 percent later joined Anthropic full time on AI safety teams, and many others moved into safety roles at other companies.

In other words, this is not just a stipend to sit on a resume. For a real share of fellows, it has turned into an actual career path into AI safety.

How and When to Apply

Applications run on a rolling basis rather than one fixed yearly deadline, and Anthropic runs several cohorts a year. For context, the window for the January 2026 cohort closed on October 18, which has already passed by the time you are reading this, but that is normal for a rolling program. A new window opens for each upcoming cohort.

That means the best move is to check the current listing directly rather than assume you missed your shot. Apply through Anthropic’s own job posting, which routes through its recruiting partner for this program. Pick one track (safety, security, or another listed workstream) rather than applying to several at once.

Important tip: watch out for scam recruiters. Anthropic’s official guidance is clear that its recruiters only contact candidates from @anthropic.com addresses, and the program never asks for payment or banking details before your first day.

Common Questions

Do I need a machine learning background to apply?
No. Anthropic says strong coding skills and the ability to learn fast matter more than prior ML experience. Fellows have come from physics, math, and cybersecurity backgrounds.

Is this program remote?
You must hold work authorization in the US, UK, or Canada and be located there during the program, since Anthropic does not sponsor visas for fellows.

What happens after the four months?
Some fellows extend their project, some join Anthropic full time, and others carry their research and skills into safety roles elsewhere. There is no guarantee either way.

Is the stipend the only funding?
No. On top of the weekly stipend, fellows get roughly 15,000 USD a month in compute funding plus research expenses, which matters a lot for anything involving model experiments.

Final Takeaway

The Anthropic Fellows Program is one of the more practical ways to get paid, real experience in AI safety without first spending years on a PhD. If you have solid technical skills and genuine curiosity about keeping AI systems safe, it is worth checking the current application window and seeing where you would fit. Even if you are not ready this round, now you know the path exists.