Currently 10 active ai and ai safety grants, fellowships and residencies open to applicants in Remote (work-from-anywhere). 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.
Subscribe: RSS feed · Calendar (.ics)
Data & Society, the independent nonprofit studying the social implications of data-centric technologies and automation, is hiring a Senior Researcher for AI Civics, a newly launched two-year programme on civic action and community control over AI. The programme aims to amplify the tools of civic participation so the public can directly shape the role AI plays in society, surfacing civic tools people can use to exert political power over AI systems and tech platforms at community level. It co-creates toolkits and training resources with anchor partner organisations, diffuses them through a train-the-trainer model, and builds toward a national civic coalition demanding democratic accountability over AI. The Senior Researcher is a subject-matter expert and lead contributor, drawing primarily on participatory methods and especially participatory action research, and is responsible for one or more inter-organisational partnerships with national partner organisations working in K-12 education, labour, faith or advocacy. Responsibilities span cultivating and stewarding relationships with partner staff, community members and leaders and public sector workers; leading collaborative relationships with an anchor partner and its local members for the co-creation and diffusion of AI Civics resources; co-developing and iterating toolkits, facilitation guides and training curricula and running piloting, feedback and revision cycles; producing case studies, educational materials, templates, reports, academic publications, lectures and public writing; supporting facilitation preparation for co-design workshops, train-the-trainer sessions and participatory research activities; developing research questions, strategies and new external partnerships with the Program Director; network communications; participating in fundraising, including grant applications and materials for the Development Team; and contributing to the intellectual life of the organisation. REQUIRED: graduate degree or equivalent; expertise in one or more sectors of interest to the programme (K-12 education, labour, faith groups, or another institutional pillar of civic life as it relates to data-centric technologies and AI); 7 to 10 years minimum experience in research organisations or research environments (university, public policy, advocacy, government), inclusive of graduate work; expertise in participatory research methods; a strong track record of seeing research through to publication; a public profile and ability to reach non-academic audiences through writing and speaking; and the ability to coordinate and conduct in-depth qualitative research. PREFERRED: doctoral degree in information science, education, social sciences or similar; established relationships with relevant organisations in the programme themes; experience with civic engagement or organising in nonprofit, labour, advocacy, research or public interest technology contexts. Reports to the Program Director. Data & Society requires prospective employees to be fully vaccinated against COVID-19. TO APPLY: submit a cover letter, an academic CV, and the names, affiliations, titles, email addresses and phone numbers for three references by 30 July 2026. Applications are reviewed from 31 July 2026. Questions: jobs@datasociety.net. NOTE: this is a salaried job, not a grant or fellowship.
The Institute for Law & AI (LawAI), an independent think tank researching and advising on the legal challenges posed by artificial intelligence, is running its inaugural Law & AI Academic Fellowship for aspiring legal scholars who intend to go on the US legal academic job market. The fellowship is designed as an alternative to university-sponsored Visiting Assistant Professor or law fellow positions: fellows spend the majority of their time researching and writing articles for publication in law journals on the law of transformative AI, and are prepared for the academic job market as part of a larger application package. Teaching is not required, which LawAI frames as a benefit over most university-affiliated positions, though fellows who want teaching experience are encouraged to seek it and LawAI and its affiliates may be able to help secure positions. Each fellow is paired with an academic mentor from LawAI's network of affiliated academics for ongoing support, with more intensive help in the final stages of the job application process including moot interviews and detailed feedback. Fellows may also inquire about spending time in residence at academic institutions of interest. Candidates are selected in part on how well their research interests align with LawAI's: the institute expects AI to reshape culture, the economy, public policy, public administration, politics, military affairs and geostrategy at least as profoundly as the Industrial Revolution, and asks whether a candidate's research is well-scoped to changes of that magnitude. Areas of particular interest include risk regulation of transformative AI, liability for AI harms, AI and biosecurity, AI and cybersecurity, executive branch use of transformative AI, national security law, law and AI infrastructure, administrative law, constitutional law, international regulation, AI in the judiciary, and industrial policy. Full-time two-year role at USD 130,000 per year, based in Washington DC, Cambridge UK, or remote. Applications close 31 July 2026.
RAND's Center on AI, Security, and Technology (CAST) runs a rolling fellowship for researchers working on AI security and technology policy, with mentorship from RAND policy experts. Fellows can be based in Washington DC, San Francisco or Pittsburgh, work remotely within the United States, or be based in the United Kingdom. Terms are flexible: engagements typically start at six months and can be extended up to three years, full-time or part-time. US fellows receive an annual stipend ranging from USD 40,000 to 200,000 for full-time work depending on experience, plus a monthly payment that can be put toward health and dental insurance; UK fellows are compensated based on experience. The programme spans career stages from undergraduate through mid-career. ELIGIBILITY: applicants must be based in the US or UK; US applicants need to be eligible for a government security clearance, and UK applicants must have a current and ongoing right to work in the UK. Current RAND staff are not eligible. ROLLING DEADLINE: applications are submitted through an online form and reviewed quarterly, with published cutoffs of 1 February, 1 May, 1 August and 1 November, each answered by the first of the following month. The date recorded here is the next cutoff (1 August 2026); the call does not close after it. RAND notes that if one of its listed staff openings matches your interest you should apply to that instead, and suggests not applying to the fellowship if you have submitted another CAST application within the last six months.
An eight-week full-time empirical AI alignment research programme run by the AI Alignment Foundation, with a dedicated research manager, mentorship from senior researchers, compute and infrastructure, culminating in a Demo Day where fellows present their work. Fellows receive a USD 12,000 stipend paid in two installments plus a compute budget. The programme is fully remote for the research period; Demo Day is hybrid in Los Angeles and travel is covered for fellows who attend in person. ELIGIBILITY: open to all career stages, including recent PhDs, graduate students, self-taught researchers and career-changers, but candidates need a strong machine learning background, demonstrated engagement with alignment research, prior independent research output, and the ability to work autonomously. Non-US applicants are welcome provided they can make Pacific Time meetings; current graduate students may apply if they can confirm availability. This is explicitly a technical programme: the foundation says policy-focused applicants should not apply. SELECTION: all applications are reviewed, qualified candidates advance to a technical test, and finalists are interviewed, with decisions expected by early September. Applications close 17 August 2026 (Anywhere on Earth); the programme starts 8 September 2026.
The Wilson Center, the congressionally chartered nonpartisan policy research institution in Washington DC, awards 10 to 20 research fellowships for its 2027-2028 class. Fellows conduct research and write in their areas of interest while interacting with policymakers in Washington and with other fellows. The Center accepts policy-relevant, nonpartisan proposals that address key foreign policy challenges confronting the United States and the world, and projects must align with at least one of the Center's four scholarship pillars: strategic competition, economic statecraft, TECHNOLOGY AND INNOVATION, and regional scholarship. The technology and innovation pillar is the relevant route for AI governance, emerging technology and digital policy projects, which the Center also supports through its Science and Technology Innovation Program. Fellows work remotely for the duration of the fellowship; the Center covers travel costs for two required trips to Washington DC at the beginning and the conclusion of the term. The stipend is USD 10,000 per month for the twelve-month term, which runs 1 June 2027 to 30 May 2028. ELIGIBILITY: academic candidates need a PhD in hand and either a published book or monograph beyond the dissertation, or a substantial body of research articles (five or more) in reputable peer-reviewed journals. Non-academic applicants (practitioners, journalists, public intellectuals) need at least ten years of relevant experience and a record of substantial policy impact. There is no citizenship restriction, but English proficiency is required. Applications, including letters of recommendation, must be submitted online via Interfolio by 11:59pm ET on 30 September 2026. Questions: fellowships@wilsoncenter.org. NOTE: this is an open-topic foreign policy fellowship, not an AI-specific one; the technology angle depends on how you scope the proposal.
Manifund's regranting program funds AI safety and global-catastrophic-risk work through a network of expert regrantors, each given an independent budget to recommend grants to people and projects they find promising. Applicants submit a project proposal on the Manifund platform; regrantors can then offer funding. GRANTS: typically USD 5,000 to 50,000, though amounts vary. ELIGIBILITY: individuals (no legal entity or institutional affiliation required) and organizations working on AI safety or reducing catastrophic risk from AI. Applications are accepted on a rolling basis; per-regrantor budget availability varies over time. Learn more at the regranting page and apply on the Manifund platform (manifund.org).
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.
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.
The Good Life Residents Program is a six-month Roosevelt Institute initiative that develops new leaders and elevates bold ideas across six economic policy priorities under its Good Life Agenda. Each topic area hosts a cohort of 3 to 4 residents plus 1 to 2 senior Topic Advisors (academics, policy leaders, organizers or government practitioners) who provide strategic and intellectual mentorship and moderate the closing event. Residents write a roughly 1,500-word original policy essay advancing a people-centered policy vision against a topic-specific prompt, take part in structured dialogue with peers, Topic Advisors and Roosevelt Think Tank directors, help prepare and appear at a culminating public event, contribute to press opportunities such as op-eds and reporter calls where applicable, and act as ambassadors for the Good Life Agenda in their professional and public networks. The current round, the AI and Finance Residents Program, is run in partnership with Data & Society and asks for bold ideas on how to shape, redirect, interrupt or make more visible and contestable the flows of capital into generative AI. Framing: breakneck investment in generative AI technology and infrastructure is distorting the stock market, profit measures, bond issuance, the pace and composition of growth, job creation and trade policy, with seven tech companies accounting for more than a third of S&P 500 market capitalisation and complex, sometimes circular financial arrangements obscuring risk. Suggested lines of inquiry include what government interventions could improve public oversight, risk allocation and direction-setting in private markets; how other investments could be coordinated and scaled if AI spending is crowding them out; what role public spending or new institutions could play in catalysing technology R&D designed to support workers, sustainability and supply chains; what democratic input mechanisms would keep state influence over capital flows less vulnerable to corruption; and how federal AI policy should address public hostility to data centre investments alongside national security and competitiveness. Compensation is USD 3,000 plus travel and accommodation for the culminating event. FLAG: Roosevelt does not publish an application deadline for the AI and Finance round on the programme page, and earlier rounds (Social Security financing, Federal Reserve powers, housing) each ran their own short application window. Check the Formstack application form linked from the programme page for the current closing date before applying.
Luminos.AI, an embedded AI-governance and legal-risk infrastructure company (built by former Fortune 500 AI governance leads and company-builders), runs a part-time fellowship for a technically inclined law student or recent graduate who wants to work at the frontier of AI agent oversight and risk evaluation. Fellows work directly with senior lawyers and engineers on the practical problem of how to test, evaluate and govern generative and agentic AI systems that change every quarter. WHAT YOU DO: research and help design rigorous testing and evaluation approaches for generative and agentic AI, translating fast-moving legal and regulatory requirements into concrete, testable standards; track the global AI regulatory landscape in real time and turn it into practical guardrails; draft frameworks, workflows and risk assessments that hold up under real deployment conditions; and partner closely with the technical team, where comfort around code, models or data is an asset. Fellows with technical skills who want to spend part of their time working directly with engineering are encouraged to do so. WHO YOU ARE: currently pursuing a JD (or a recent graduate) from a top law program; an excellent researcher and writer comfortable applying existing law to genuinely new situations; genuinely enthusiastic about AI and willing to learn the technical details. Bonus: coding ability, ML/GenAI exposure, or a background in privacy, security or data governance law. TERMS: USD 35 per hour, remote, part-time, flexible 3 to 6 month term, with direct mentorship from senior legal and technical leadership. TO APPLY: send a cover letter, resume, transcript and writing sample to careers@luminos.ai with the subject line 'Application for Luminos.AI Fall 2026 Fellowship'. Rolling review with remote interviews.