Currently 9 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.
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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.
A bias bounty from Zindi, Humane Intelligence, Radiant Earth, and the Heising-Simons Foundation: measure coverage gaps in Overture Maps across US Census tracts by comparing it against Census TIGER/Line Roads, Microsoft US Building Footprints, USGS National Map critical facilities, and Census County Business Patterns. Submissions are automatically evaluated with a Bias Score assessing equity metrics across demographic and climate-vulnerability strata, surfacing whose neighbourhoods open map data underserves. PRIZES: 1st USD 4,500, 2nd USD 2,500, 3rd USD 1,500, Best Bias Discovery USD 1,000, Best Documentation USD 500 (USD 10,000 total), plus 10,000 Zindi points. ELIGIBILITY: open to all, teams of up to 4. HOW TO ENTER: create a Zindi account, download the sample submission files, compute coverage-gap scores per tract GEOID, and upload a CSV; 10 submissions per day, 300 total. Free to enter. DEADLINE: 31 October 2026.
AIXI Labs is a small London-based non-profit doing AI safety research grounded in algorithmic information theory. Its stated position is that most AI research today is either mathematically clean but narrow, or practical but too opaque for rigorous safety analysis; the lab targets a third category, methods general enough to describe powerful agents and provable enough to support real safety claims, using AIXI (the theoretical model of unbounded artificial superintelligence) and then porting the strongest of those ideas to modern LLM-based agents. The fellowship is a quarterly, rolling programme for researchers who want to work on this agenda under close mentorship from the core team: Cole Wyeth (Founder and Executive Director), Marcus Hutter (Research Director) and Aram Ebtekar (Founding Research Scientist). Fellows pursue a focused research project over roughly a quarter and receive a monthly stipend plus a compute budget for machine-learning work. The fellowship is fully remote, so fellows may work from anywhere in the world or from the London base. RESPONSIBILITIES: pursue a self-directed research project aligned with the lab's algorithmic-information-theoretic approach to AI safety, spanning anything from foundational theory to empirical tests with LLM-based agents; shape the project direction around your own strengths and interests, as the lab supports a range of work within this framework; and contribute papers, blog posts or other written output communicating results to the broader AI safety and ML research communities. MINIMUM QUALIFICATIONS: a research background at the level of a current PhD student (for primarily empirical projects, a master's-level command of the relevant mathematics paired with substantial industry or applied research experience can also qualify); solid grounding in probability, statistics, information theory and reinforcement learning, sufficient to engage seriously with AIXI-style theoretical models (prior expertise in algorithmic information theory or AIXI is NOT required); strong verbal and written communication skills; genuine motivation to reduce existential risk from advanced AI and enthusiasm for the lab's kind of work. PREFERRED QUALIFICATIONS: publications at top ML, AI or theory venues such as NeurIPS, ICML, ICLR, ALT or COLT, though the lab values the strength of your best work over volume; background in algorithmic information theory, computability theory, learning theory or related theoretical computer science; experience fine-tuning, evaluating or red-teaming LLM-based and/or RL agents; prior engagement with the UAI/AIXI community or related fields, including members of the lab's online reading groups. APPLICATIONS are reviewed on a rolling basis and previous applicants remain eligible for later rounds.
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).
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.
Rest of World is in the third year of its Labor x Tech program, underwritten by the Ford Foundation, commissioning reported stories on the changing nature of work at a moment of upheaval: AI tools and robotics reshaping professions at every rung of society, from self-driving cars replacing drivers to humanoid robots working alongside nurses; lay-offs across the tech industry; and the gig work model continuing to reshape traditional employment. The programme's premise is that this moment needs documenting now, in stories that help prepare society for what comes next. WHAT THEY COMMISSION: reported stories of 800 to 1,000 words from around the world on this beat, at a fee of USD 1,000 per story. WHAT THEY ARE LOOKING FOR, based on previous years: how new technology is transforming existing industries in unique ways and creating unexpected new pockets of employment; how technology is leading to significant job gain, job loss, and government responses to those trends; whether large demographic shifts are following the adoption of new technology or the arrival of new industries; how workplace technology is changing workplace dynamics; how new industries and tools are changing workers' incomes; and the expansion of the gig work model alongside the threats of automation. EXAMPLES of the kind of story they hope to commission, all previously published by Rest of World: workers in Chinese data factories teaching humanoid robots boring tasks; entry-level tech workers describing the AI-fuelled jobpocalypse; Microsoft and Google claiming their data centres create thousands of jobs while their permit filings say otherwise; AI helping judges close cases quickly and lawyers open them quickly; tech workers fuelling a mini baby boom in Taiwan's Silicon Valley; Dubai's robotaxi ambitions coming for human drivers; and the job brokers who run the lives of the migrant workers staffing Taiwan's chip plants. ELIGIBILITY NOTE: the programme is unable to commission reporting in India or from writers based in India for this series. HOW TO PITCH: send 2 to 3 paragraphs laying out the nutgraf of the proposal and explaining how the pitch fits the editorial mission of the programme. Indicate what sources will be used, whether any pre-reporting has been completed, what reporting has already been done on the topic at other outlets, and what the story contributes to the discourse. Pitches go to laborxtech@restofworld.org. Pitching is open on a rolling basis; no closing date is stated.
The Anthropic Fellows Program is a four-month, fully funded research fellowship with direct mentorship from Anthropic researchers. Fellows work on empirical projects aligned with Anthropic's research priorities using external infrastructure, aiming to produce public outputs such as papers. Five workstreams: AI Safety, AI Security, ML Systems and Performance, Reinforcement Learning, and Economics and Policy; safety topics include scalable oversight, adversarial robustness, mechanistic interpretability, and model organisms. FUNDING: a weekly stipend of USD 3,850 (GBP 2,310 / CAD 4,300), around USD 15,000 per month in compute funding, and other research expenses. ELIGIBILITY: fluent Python; available full-time for four months; strong technical background in computer science, mathematics, or physics; work authorization in the US, UK, or Canada (no visa sponsorship). Locations: San Francisco, London, Ontario, or remote within those countries. APPLICATION: rolling, via the Constellation portal; the process includes an initial application, reference checks, technical assessments, interviews, and a research discussion. The next cohort is expected to start in January 2027, so apply well before the end of 2026.