Currently 6 active ai and ai safety grants, fellowships and residencies open to applicants in the US. Hand-curated and updated weekly. Almost every entry is funded; a few notable unpaid open calls and festival submissions are included as clearly flagged exceptions. Browse the list below, or use the interactive desk for filtering and shortlisting.
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A 12-week fall fellowship that bridges emerging AI technology and the social sector: fellows gain practical, workplace-ready AI skills through hands-on, interactive training while applying them to increase the operational capacity of a partner nonprofit. The program emphasises moving past theoretical AI concepts into immediate, real-world applications, and provides equitable access to AI training for individuals and organizations driving positive social change. WHO SHOULD APPLY: professionals and emerging leaders seeking practical AI skills; prior AI experience is not required. ELIGIBILITY: applicants must be at least 18, secure a commitment from a 501(c)(3) nonprofit partner, and commit roughly 8-10 hours per week. Fully remote (sessions during 9am-5pm PT); stipends can only be issued to individuals with US-based tax status (SSN or ITIN), though US-based nonprofits with employees elsewhere may be considered. COMPENSATION: USD 2,000 stipend upon successful completion. The program runs September to December 2026. DEADLINE: 30 June 2026, 11:59pm PT.
Frame Fellowship is a 10-week residential accelerator in San Francisco for content creators educating the public on AI safety. Frame's premise is that content creators can solve a long-standing bottleneck of expanding reach and trust beyond the AI safety and effective altruism (EA) bubble; creators today hack attention, empower mass action and shape culture. Past Frame Fellows include award-winning filmmakers, journalists from leading newsrooms and ex-activists who transitioned to educating, empowering and preparing their communities for the impacts of AGI. Frame helps amplify their impact to millions of people, connects them to funding and sponsorship opportunities at organizations such as FLI, CAIS and Seismic, and helps establish their path as a leading content creator. This cohort runs 10 weeks with a stronger mentor and creator network, access to production-ready studios in San Francisco, housing, food and a stipend, plus connections to funding and partnership opportunities after the program. TWO TRACKS: (1) Independent Track, build your own channel and become a defining voice on a topic; (2) Amplifier Track, embed with an AI org/company and grow their reach. SUPPORT: Frame covers accommodation, meals, flights and a USD 10,000 stipend for the 10 weeks so fellows can go all in; top performers may be eligible for additional grant opportunities beyond the program. Early deadline: 10 July 2026. Apply at https://framefellowship.com/.
The ZwillGen Fellowship is a 12-month position for recent law-school graduates and early-career attorneys interested in working at the intersection of law, technology, and public policy. Fellows work alongside attorneys on matters involving privacy, cybersecurity, artificial intelligence, online platforms, surveillance, digital advertising, fintech, online safety, and technology regulation, contributing to client counseling, investigations, litigation, and emerging regulatory matters, as well as research, writing, and speaking. The program includes a reduced billable target (1,250 hours) to make room for thought leadership and engagement with the technology policy, privacy, and civil liberties community. ELIGIBILITY: must have graduated from law school before the program starts; must have taken or plan to take a bar exam near the start of the Fellowship; must be able to work out of the DC office and be eligible to apply for admission to the DC Bar. Candidates primarily interested in traditional IP practice may find it less aligned. A small number of applicants may also be considered for the Hannah Schaller Memorial Skylark Fellowship (privacy-law focus, with a reduced 1,100-hour billable target for additional community engagement). Following the Fellowship, fellows may be invited into a full-time attorney role or supported in pursuing other technology law and policy opportunities. APPLY with a resume, law-school transcript, writing sample, and cover letter by 31 August 2026.
The CHAI Research Fellowship trains highly qualified postdoctoral researchers to advance beneficial AI, working with CHAI faculty Stuart Russell, Pieter Abbeel and Anca Dragan and collaborating with affiliate faculty at Berkeley AI Research and beyond. Fellows have broad freedom to pursue novel research toward provably beneficial AI systems in areas such as reasoning, decision making, learning, multi-agent systems and philosophical foundations, using probability theory, game theory and control theory. Current topics of interest include theoretical foundations of intelligent agent architecture, expressive formal languages for probability models (including probabilistic programming), decision making over long time scales, cumulative lifelong learning, human-in-the-loop planning and reinforcement learning, human-robot interaction, the structure of human preferences, acting on behalf of multiple humans, robust cooperation in heterogeneous multi-agent systems, and mechanism design for human-machine systems. Fellows may also lead collaborations, advise junior researchers, and teach. QUALIFICATIONS: a PhD (or about to be obtained) in a relevant technical discipline (computer science, statistics, mathematics, or theoretical economics) and a record of high-quality published research; prior work on the AI control problem is not required. International applicants are eligible (visa sponsorship provided). TO APPLY: submit via the CHAI application form a resume, a one-page statement of interest describing the research you would like to undertake, and the names and emails of two academic referees. Start date is flexible and applications are reviewed on a rolling basis (no fixed deadline). General enquiries: chai-info@berkeley.edu.
Research residency at Perplexity for exceptional researchers, engineers and analysts from any quantitative or analytical discipline (physics, cognitive science, quantitative finance, theoretical mathematics, etc.) to apply their expertise to AI research challenges including agentic systems and human-AI interaction. ELIGIBILITY: no PhD or deep-learning-framework experience required; instead, strong mathematical foundations, demonstrated technical depth in a rigorous quantitative field, curiosity-driven research practice and clear communication skills. FORMAT: in-person residency paired with senior researcher mentors, with access to compute, research tools and proprietary datasets; residents are encouraged to publish at top-tier conferences and contribute to open source. Rolling start within ~8 weeks of acceptance. Applications via the Perplexity portal: resume/CV or portfolio plus a cover letter describing your interest in AI research at Perplexity; an optional research statement of project ideas is welcomed.
Technical AI Policy Researcher role at TikTok sitting at the intersection of AI policy, model behaviour, safety and risk governance. The role focuses on AI safety and model behaviour, Responsible AI policy development, red teaming and AI evaluations, bias / fairness / political risk / misuse mitigation, building governance workflows for frontier generative-AI systems, and cross-functional work with policy, engineering, legal and research teams. Genuinely blends technical AI governance with operational AI safety work in production environments. STRONG FIT FOR backgrounds in Trust & Safety, AI governance, AI policy, AI safety research, cybersecurity / risk governance, model evaluations, and Responsible AI / algorithmic accountability. Salary $93,000-$220,000 depending on level and location. NOTE: this is a job, not a grant or fellowship; the posting does not list a fixed application deadline (rolling).