Currently 25 active paid ai and ai safety grants, fellowships and residencies. 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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UK & Ireland Pathfinder track of the 2026 AWS Imagine Grant. For registered nonprofit charities with strong data practices, in the planning phase of incorporating frontier AI (generative AI, agentic AI, autonomous systems) as a core workload during the grant term. Up to $100K cash + $50K AWS credits, plus AWS technical and training support. Round One closes 12 June 2026; notifications 14 July; Round Two open 10 August to 2 October 2026. Eligibility: registered nonprofit charities based in the UK or Ireland. NOTE: this is a charities-only programme and is not open to individual artists, researchers, or for-profit studios.
The Talos Network's Policy Leaders Programme is built for experienced professionals ready to move into shaping European governance of advanced AI. It runs a part-time virtual European AI Policy Bootcamp (10 Sep - 22 Oct 2026, weekly Thursday calls, ~10 hrs/week, designed around a full-time job) with a fully-reimbursed week-long policymaking summit in Brussels (3-9 Oct 2026), and a Placement track offering a 12-month paid placement at a relevant AI-focused organisation (base EUR 5,000/month for Brussels). Fellows get intensive 1-1 mentoring and career coaching, access to the Talos Network and alumni, a curated senior peer cohort, and tailored financial support. ELIGIBILITY: experienced professionals (around 8-10+ years) in high-stakes environments such as government, international organisations, think tanks, industry or academia, with a track record of influencing senior decision-makers, looking to transition into AI governance or strengthen the AI dimension of their existing work; Europe-focused. Application deadline 14 June 2026.
Accelerator Fellowship Programme at the University of Oxford's Institute for Ethics in AI, supporting impact-driven projects addressing the urgent ethical challenges posed by artificial intelligence, grounded in philosophical inquiry, academic independence and a collaborative ethos. 3-4 fellows recruited for the 2026/27 cohort. NOT FOR: early-stage, proof-of-concept, or blue-skies-only proposals. PROJECTS MUST: be already on a clear path to creating meaningful impact, with established or clearly identified partnerships, a well-defined delivery roadmap, and clear indicators of how impact will be achieved and measured. POTENTIAL IMPACT INCLUDES: policy or governance innovation in AI; new professional-development opportunities in the AI industry; commercial or technical innovation in responsible AI; strategic networks/alliances; transformation of public discourse on AI ethics. ELIGIBILITY: practising professionals and academics from any discipline, holding a continuing role within a university, not-for-profit research organisation, industry, or who are otherwise professionally established and engaging with AI. Open worldwide; proficiency in English required. PhD applicants: 2+ peer-reviewed publications and a rising trajectory of research including at least one grant as PI or Co-I. Non-PhD applicants: 7+ years equivalent professional standing with advanced expertise, original contributions, peer/professional recognition, and significant impact. WHAT FELLOWS GET: GBP 2,000/month stipend; economy UK travel and visa costs covered; intellectual engagement with Oxford researchers; visibility through seminars, public discussions, collaborative events; flexible self-directed structure (no formal supervision); induction meeting plus a one-day retreat. FORMAT: remote with short visits, or up to 6 months in-person in Oxford (subject to UK immigration eligibility); in-person stays should align with university term dates. NOTE: this is NOT an employed position with the University. APPLY: (1) complete the online application form; (2) email the three documents (Project Statement max 500 words including impact pathways and any project-cost proposal; Motivation Letter max 500 words; CV max 2 pages) as PDFs to aiethicsafp@philosophy.ox.ac.uk with subject line 'AFP Fellowship Application' and the naming convention 'Surname_Name_Month_Year_AFP_filetype'. TIMELINE: applications opened 25 May 2026; deadline 15 June 2026 23:59 UK time (programme reserves the right to close applications early). VISA: if needed, allow 6 months before intended visit; 3 months otherwise.
Principles of Intelligence (PrincInt) is hiring Research Scientists to work on Ambitious Mechanistic Interpretability (AMI): developing tractable, realistic, scale-aware data structure models; quantifying the relationship between data structure and the features AI systems learn; and building synthetic datasets to benchmark and improve interpretability tools. The team is currently exploring a data model based on high-dimensional percolation theory (a statistically self-similar, sparse structure), working at the intersection of physics and mechanistic interpretability. The role is FULLY REMOTE and async. MUST HAVE: a PhD or equivalent research experience in a technical field (math, physics, neuroscience, computer science, or complexity science); ability to communicate complex novel ideas; working knowledge of neural networks and deep learning; experience with scientific computing in Python; comfort in a fully remote environment; and strong motivation to contribute to AI safety. GREAT TO HAVE: a publication record in ML or a quantitative field; knowledge of statistical physics (percolation theory, renormalization), mechanistic interpretability, stochastic/coalescent processes, combinatorics, or network science; experience with fractal geometry, neural scaling laws, graph/tree algorithms, or theories of concepts in cognitive science; or familiarity with the ARENA curriculum. The team meets in person 2-4 times a year. PROCESS: application, screening call, remote interview, research talk, a paid one-day remote work trial, and references. Apply by 21 June 2026; applications reviewed on a rolling basis. Accommodations: info@princint.ai.
Horizon's 9-month part-time, remote AI Policy Career Accelerator helps people from a wide range of backgrounds move into AI governance and policy roles in Congress, agencies and think tanks. Cohort 3 participants receive 1-on-1 mentorship from experienced policy practitioners, dedicated training on working in Congress / agencies / think tanks, coaching on resumes, cover letters and writing samples, direct introductions to hiring managers, and access to exclusive (non-public) job listings. Up to $100,000 is available in career-development funding per participant for unpaid or underpaid roles, courses, conferences, relocation and more. ELIGIBILITY: open to all backgrounds and experience levels (students, mid-career professionals, academics, researchers, lawyers, engineers); no prior policy experience required. Time commitment is flexible (typically under 2 hours/week outside an optional 4-6 week training period). Applications close 21 June 2026.
The FemFirst Research Observatory supports mid- to senior-career women and non-binary-identifying researchers and scholars in contributing original research on feminist AI futures in South and Southeast Asia. The Observatory will support 8 to 12 researchers, each developing two high-quality original research papers (6,000 words each) over a 12-month period, alongside two blog syntheses and additional dissemination materials such as podcast episodes. AIMS: build a robust body of empirical, conceptual, policy and applied research at the intersection of AI and gender equality in South and Southeast Asia; open new technical, social and political pathways for feminist AI; and seed an interdisciplinary AI knowledge ecosystem and network of researchers and institutions in the region. ELIGIBILITY: established mid- to senior-career researchers and scholars; may be independent researchers, individual researchers, scholars or academics, or research teams at registered research institutions or entities (universities, research centres, non-profit organisations, for-profit firms). Applicants must demonstrate regional expertise and specialisation in South and Southeast Asia with a track record of work on digitalisation and gender. Applicants must identify as a woman or non-binary person; team applications must be led by a woman or non-binary person. Researchers located outside South or Southeast Asia are considered, but research must focus on the region. Proposed research must be original and not published elsewhere; any additional funding sources for the same proposal must be disclosed.
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.
Six-month Restless Egg accelerator for artist-founders building commercial products with AI and other emerging technologies under the theme of 'Luxury Technology': products that pluralise what AI makes possible across perception, pleasure, communication, ritual and creativity, rather than productivity, surveillance or 'slop'. ELIGIBILITY: artist-founders with an experimental, culturally attuned methodology; work that originates as obsession or frontier practice rather than as a product brief; clearly identified users and real demand; and potential to build a durable company (not a one-off artwork or pure research project). NOTE: this is an equity-based accelerator investment, not a grant - $50,000 initial in exchange for 5% equity, with follow-on conditional on hitting milestones.
Worldbuilding competition asking entrants to build and argue a grounded vision of a 2035 in which AI went well, submitted as text plus media. A speculative, constructive counterpoint for artists and writers engaging critically with AI and synthetic media. ELIGIBILITY: open internationally to anyone aged 16 or over (prizes paid by international bank transfer); entrants must first complete a free course of roughly 1.5 hours. Individual or team entries. Deadline 30 June 2026 (23:59 anywhere-on-earth).
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/.
Funding to develop a career working on the potential consciousness, sentience, moral status or welfare of artificial intelligence systems (digital minds). The fellowships aim to grow a new generation of researchers, policymakers, communicators, entrepreneurs and practitioners working on digital minds and AI sentience issues. EXAMPLE CANDIDATES: a current or planned PhD or other degree student seeking financial support to study digital minds issues; a technical AI researcher who wants to explore research topics, attend events and meet organisations in the space in order to select a high-impact role; or a communications professional pivoting into digital minds work (for example running surveys or building experts' platforms). SUPPORT: a stipend calibrated to award duration, cost of living and prior experience, plus additional case-by-case funding for research or logistics. APPLY by 10 July 2026. Questions: digitalminds-rfp@longview.org.
A joint philanthropic funding call by Schmidt Sciences, Google DeepMind, ARIA, the Cooperative AI Foundation and Google.org to catalyse the foundational scientific research needed to understand, evaluate and control risks emerging from large-scale ecosystems of interacting AI agents deployed by multiple actors (multi-principal, multi-agent settings). The call argues that focusing only on the safety and alignment of individual models is insufficient, and seeks system-level approaches. RESEARCH AGENDA (four clusters): (1) Sandboxes and Testbeds, realistic, reproducible multi-agent environments for studying populations of frontier-model agents; (2) The Science of Agent Networks, how collective capabilities emerge and scale, how networks fail, and how dangerous population-level properties can be detected; (3) Strengthening Agent Infrastructure, evaluating and stress-testing primitives such as identity, verifiability, reputation, communication and commitment; (4) Multi-Agent Oversight and Control, detection, attribution, security and intervention methods to keep deployed agent populations safe at scale. Proposals may target one cluster or span several, with priority on depth over breadth and on realistic sandboxes and testbeds. OUT OF SCOPE: single-agent safety, capability advancement without a clear safety motivation, toy systems, naive application of pre-existing solutions, commercial product development, and purely conceptual/policy work. ELIGIBILITY: individual researchers, research teams, research institutions and multi-institution collaborations across universities, national laboratories, institutes and nonprofit research organisations; open globally. Informational webinars on 30 June and 23 July 2026; notification of decisions in autumn 2026. Proposals due 8 August 2026 by 11:59pm Anywhere on Earth. Contact: multiagentsafety@schmidtsciences.org. Apply at https://schmidtsciences.smapply.io/prog/scaling_ai_safety_for_a_multi_agent_world/.
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.
Since 2020 the Prototype Fund Switzerland has strengthened the common good with open-source, public-interest technology, supporting interdisciplinary teams to develop and test early-stage projects that show how open source, data and digital technologies such as AI can create real societal value. The 2026-2027 edition focuses on Responsible and Sustainable AI: building the path toward a more responsible and sustainable AI, tech and digitalization landscape, open source and beyond. THIS YEAR'S FOCUS: projects that reduce resource use, energy consumption or emissions; strengthen accountability, transparency and governance; and contribute to resilient and trustworthy digital systems, including sustainable digitalization and digital sufficiency, public-interest AI and data infrastructures, and tools for governance, oversight or digital sovereignty. PUBLIC INTEREST TECH areas span sustainability and climate, participation and civic tech, education and literacy, health and inclusion, and open knowledge and data. WHO THEY FUND: individuals and small teams open to open source, AI and iterative experimentation, eager to combine technical capability with societal and political awareness, willing to share learnings, motivated to work on pressing societal problems through technology, with an early-stage but well-thought-out concept, and eligible to work in Switzerland. SUPPORT: up to CHF 50,000 in funding, a 4-month prototyping phase, coaching, mentoring and workshops, and access to a strong network across tech, policy and society. Teams are strongly encouraged (though not required) to publish code, data or components under open-source licenses and to document their approach. TIMELINE: applications 21 July to 7 September 2026; rolling jury selection August-September 2026; prototyping mid-October 2026 to mid-February 2027; outputs and learnings November 2026 to July 2027. Questions: info@prototypefund.ch.
Humans in Control empowers the public to shape AI policy through grassroots organizing and bipartisan advocacy for commonsense safeguards that protect children and families. The Distributed Organizing Manager builds and supports distributed/volunteer organizing to advance the organization's advocacy goals. This is a full-time, fully remote role open to candidates anywhere in the United States (US work authorization required). Compensation is USD 65,000-80,000 plus benefits. Applications are reviewed on a rolling basis (no fixed deadline). See the listing for full responsibilities and to apply.
Humans in Control empowers the public to shape AI policy through grassroots organizing and bipartisan advocacy for commonsense safeguards that protect children and families. The Digital Video & Engagement Manager produces video and digital content and drives audience engagement in support of the organization's advocacy and organizing goals. This is a full-time, fully remote role open to candidates anywhere in the United States (US work authorization required). Compensation is USD 75,000-95,000 plus benefits. Applications are reviewed on a rolling basis (no fixed deadline). See the listing for full responsibilities and to apply.
Navigators is Coefficient Giving's leadership incubator: a selective program for people who want to own tractable and neglected global catastrophic risk (GCR) problems. Participants get six months to two years to research a problem and develop a pitch, ideally pitching Coefficient Giving on an ambitious grant, assembling a founding team, and launching with a path to scaling substantially (e.g. USD 10M+). The FIRST COHORT focuses on Securing Transformative AI, primarily securing AI infrastructure at frontier labs and data centers: protecting model weights and algorithms from exfiltration; protecting model integrity from tampering/data poisoning; disconnected model safety; secure compute verification; protocols for using compromised AI (AI control); and detecting and responding to rogue deployments. WHO THEY SEEK: people with backgrounds such as cybersecurity in a national-security context (e.g. building SL5 facilities, intelligence, offensive security), ML security research (tamper resistance, backdoors), relevant industry security (frontier AI labs, hyperscalers, hardware, government contractors), or exceptional capability in academic security research, security entrepreneurship or standards; strong at breaking down ambiguous problems and articulating plans. CONDITIONS: apply as an individual or a team of up to three; part-time possible for exceptional candidates; relocation support to a hub (SF, London, D.C.) is offered, or do it remotely from your home country with roughly one week per quarter of travel. NO visa sponsorship (remote work or independently-obtained visas only). Joining does not guarantee project funding, but the aim is to develop a plan Coefficient Giving is excited to scale, or to support your next role. Applications via the program page; no fixed deadline stated for the first cohort.
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.
Foresight Institute grants supporting work at the intersection of AI, science and safety, including AI-for-science tools and AI-safety research. ELIGIBILITY: individuals, teams and organisations (for- and non-profit) worldwide; applicants active in the San Francisco or Berlin hubs are prioritised. Applications are reviewed on a rolling basis with a cutoff on the last day of each month. Apply via the Foresight Institute grants page.
Effective Altruism Funds' Long-Term Future Fund makes grants to individuals and small groups working to reduce risks from advanced AI and other threats to humanity's long-term future, including technical AI safety and alignment research, field-building and communication. ELIGIBILITY: individuals and small groups; not geographically restricted. Applications accepted on a rolling basis via the EA Funds application form.
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.
Rolling grant programme funding individuals at any career stage who want to pursue careers that could help reduce global catastrophic risks or otherwise improve the long-term future. Especially interested in candidates working on risks from future advances in AI and global catastrophic biological risks. Funds graduate study (master's/PhD/MPP/law school), unpaid internships, postdocs, professional certifications, online courses, independent study/upskilling, career-transition and exploration periods, and academic sabbaticals. Concrete examples Coefficient Giving lists: a senior ML engineer doing six months of independent study to investigate AI risk mitigation careers; a physics PhD doing self-guided ML interpretability work to transition into technical AI safety; a management consultant exploring how to apply their skill set to GCR; a tenured ML/CS professor taking a one-year sabbatical to contribute to AI safety or governance. Open globally; no institutional affiliation required. Looks for candidates whose funding would 'make a difference' (otherwise unable to find sufficient funding, or existing funding has restrictions). Encourages applications from women and people of color. Now subsumes the former Biosecurity Scholarship. Applications are open until further notice and assessed on a rolling basis. Free to apply.
Supports journalists producing long-form investigative reports and tech-policy researchers conducting research, analysis or evaluation that informs policy related to the Kapor Foundation's three priority areas, with an emphasis on responsible AI and tech ethics. Priority areas: CS/AI Education, Innovation, Governance. Aims to dismantle systemic inequities in the tech sector by funding researchers and investigative journalists exploring barriers and driving actionable solutions. Applications accepted on a rolling basis; first awards to be announced by 30 June 2026.
Lightweight rolling grant for individual journalists worldwide (writers, photographers, radio, film; freelance or staff) examining how AI systems are designed, sold and deployed in communities. Faster turnaround than the Pulitzer AI Accountability Fellowship: decisions in 1 to 2 weeks.
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).