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3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
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30 resources
A paid, fixed-term research program from Anthropic with placements of six weeks to six months, aimed at established technical leaders such as professors in quantitative fields, technical founders and staff-level engineers moving into AI safety work. A machine-learning background is not required. Applications for this round close November 22, 2026.
A completely free year-long fellowship that helps underserved young adults enter the sports, entertainment, and music industries, providing playbooks, access, professional skills and networks.
Yale Jackson School's four-month, full-time residential fellowship for mid-career leaders from around the world.
A nonprofit "building a culture of progress for the 21st century and beyond" — writing, courses and a fellowship on the history and future of technological progress.
An experimental bootcamp in Berkeley, California, where creators post short-form videos about AI risk every day. The first cohort of 57 creators (July 2026) tracked 112M+ views; the next is tentatively January 2027, with rolling applications.
A free, remote, part-time professional development fellowship for U.S. undergraduates graduating between December 2028 and June 2029 (including final-year community college students transferring to a four-year program). Fellows join monthly programming from February to August, a mentorship program and a business challenge. The application is a 200–400 word essay and a 2–3 minute video; the deadline is October 30, 2026.
Fellowship for women entrepreneurs offering coaching, advisors and a peer community. Applicants must hold the largest or equally largest stake in a women-owned business generating at least $75,000 a year. No application fee is listed.
Downtown Community Television's youth media fellowship in New York City, teaching young people documentary and media-making skills.
Why I recommend it: I couldn't open this page to confirm details, so check eligibility, dates and whether it is paid on the page itself. New York City youth only.
Andreessen Horowitz's 22 September 2026 announcement of HAA, a private full-time in-person school in San Francisco for people straight out of high school, built around paid work rotations (co-ops) at partner companies including Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit and Stripe, courses taught by founders and investors, and self-directed projects. Applications open for a Founding Class Fellowship.
Why I recommend it: Filed as a primary source, not a recommendation. Read it for what it is: a venture firm announcing a school whose partner list is its own portfolio, written by one of its general partners. What the page does not say matters more than what it does — no tuition figure, no accreditation, no mention of what happens to your credits if you leave, and living in San Francisco is on you. Ask all four in writing before applying.
Free programs for undergraduate students pursuing tech careers, with a current focus on AI, data science and machine learning pathways. Includes fellowships and work-based learning run with university and industry partners.
Why I recommend it: No cost to students, but programs are application-based and tied to specific universities and cohort dates. Check the programs page for who is eligible before you plan around it.
A paid fellowship for emerging leaders in social entrepreneurship, economic development, and the nonprofit sector. Fellows commit 20 hours a week from November 5, 2026 through June 30, 2027, work directly with the founder and team, and receive an $8,000 stipend on successful completion. Focus areas include leadership development, strategic planning, program design, research and data analysis, and community engagement.
Why I recommend it: Free to apply and it pays you — a rare combination. Read the time commitment honestly before applying: 20 hours a week for eight months is a real obligation alongside school or another job. Dates and the stipend amount are taken from their page as of September 2026; confirm both with the organization before you plan around them.
Fully-funded fellowship from the Institute for AI Policy and Strategy for professionals from varied backgrounds who want practical AI policy skills.
From the site: The IAPS AI Policy Fellowship is a fully-funded program for professionals from varied backgrounds seeking to strengthen practical policy skills for securing a positive future in a world with powerful AI.
Why I recommend it: Free to apply and funded if accepted, and it is explicitly open to career changers rather than only policy insiders. Check the current cohort dates before you plan around it.
Fellowship program funding researchers working on the hard problems of making AI beneficial by 2050, with an open list of fellows and their projects.
From the site: It's 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome? This is AI2050’s motivating question.
Why I recommend it: Even if you are not applying, the fellows list is a good map of who is doing serious work in which subfield.
Non-profit AI safety research lab publishing technical work on model robustness and evaluation, plus events and a fellowship pipeline for researchers entering the field.
From the site: FAR.AI is an AI safety nonprofit advancing technical research across robustness, deception, and red-teaming to ensure AI systems remain safe and beneficial.
Why I recommend it: Look at their fellowships and events pages, not just the papers — that is where the actual entry points are.
A fellowship with Vals AI, the team that benchmarks how AI models actually perform, for people who want to work on model evaluation.
Why I recommend it: Evaluation work is where a lot of AI hiring is heading — careful, skeptical people do well here even without a PhD.
A fellowship from Amplify Partners for people who write well about technology, supporting a body of published work rather than a job.
Why I recommend it: Writing in public is still the cheapest career leverage there is — a fellowship that pays for it is rare, so take it seriously.
A residency at Perplexity for people who want to do applied AI research on a working product rather than in a lab.
Why I recommend it: A residency is the friendliest door into research — you are paid to learn on a real team instead of needing the credential first.
A fellowship from Anthropic that places early-career people with mission-driven nonprofits to put AI to practical use. You can apply to be a fellow, or a nonprofit can apply to host one. The page explains how the programme works and how to apply.
Why I recommend it: This is Anthropic's own program page, so it presents the fellowship in the best light. Check the current application windows, pay and eligibility on the page before applying — those details change from cohort to cohort.
A fellowship from a16z for aspiring forward-deployed engineers — people who sit with customers and build software directly against their problems.
Why I recommend it: The forward-deployed engineer role is one of the fastest-growing job titles in AI — this is a paid-attention way in before the market floods.
A program from Listen Labs for people who want to start a company: you work on a real idea with support from the Listen team, with no cost to take part.
Why I recommend it: Apply if you already have a company idea you keep coming back to — programs like this reward a specific problem over a polished resume.
A paid AI research fellowship at DoorDash for summer and fall 2026, working on machine learning problems inside a large operating business.
Why I recommend it: Applied AI inside a logistics company teaches you constraints a lab never will — and the posting names its terms up front, which is a good sign.
A 16-week accelerator for entrepreneurs building impactful solutions in education and conscious technology, with coaching, capital, connections, and curriculum.
Why I recommend it: Check the current cohort deadline; the fellowship supports founders addressing systemic inequities and provides real capital and coaching.
Early-stage venture firm investing in diverse founders, with public portfolio information, programs, and fellowship opportunities.
Why I recommend it: Read their portfolio and thesis before pitching anyone. Knowing what a firm actually funds saves you months of mismatched conversations.
Alpha backs highly technical students and new grads with up to $250K to start a company, and connects exceptional engineers with opportunities at breakout startups.
Why I recommend it: For technical students and recent grads with a startup idea, Alpha is one of the most direct paths to funding and mentorship. Even reading the portfolio is a masterclass.
