Resources
Where to find courses, fellowships, and jobs, how to apply, and who else is doing this work.
The directory for everything AI safety
AISafety.com lists the field’s courses, fellowships, events, jobs, funding, and communities in one place. It’s kept up to date by AI safety community builders, so start there.
AISafety.com
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Getting into the field
Fellowships are how many people move into AI safety work, and most are open to people anywhere. These two guides, from people who’ve been through them, cover which ones to aim for and how to apply.
A Field Guide to AI Fellowships
By vivekstills, a recent Anthropic Fellow
Sorts fellowships into seven tracks, from research engineering and interpretability to policy and field-building. Includes a skills self-check and a directory of programs. Start by picking two or three tracks that appeal to you.
Read the guide →How to apply to AI safety fellowships (and beyond)
By Boyd Kane, MATS fellow
Make your skills easy for reviewers to check, write for the reviewer, start with lower-stakes programs like ARENA, and treat rejections as feedback. Especially useful if you’re far from the Bay Area or London.
Read the post →Programs, from first step to full-time
Most people start with a free course, then apply to a research or policy fellowship. Adapted from the programs directory in “A Field Guide to AI Fellowships.” Dates and stipends change every cycle, so check each program’s own page.
Little or no background needed. Do one of these alongside everything else.
Mentored, full-time research. Some research or strong engineering background helps; a PhD isn’t required.
Research and government-facing roles. Open to all backgrounds.
For organizers, operators, and people who want to build things.
Paid roles inside AI labs, often for students or career switchers.
There are dozens more. AISafety.com keeps the full, current list.
AI governance beyond the frontier labs
Most countries, and most states, aren’t building frontier AI. These pieces ask what they can still do to shape it.