Currently 9 active paid grants, fellowships and residencies open to applicants in Remote (work-from-anywhere), across AI, arts, film, research, tech and cross-disciplinary practice. 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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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.
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.
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.
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.
Commissioned long-form writing at the intersection of design, technology, art and culture. Editorial themes: designing with AI as cultural and infrastructural system; responsive and adaptive materials; politics of platforms and creative-infrastructure governance; post-digital hybrid making; designing for collapse and continuity; creative research as practice. In-depth pieces only, no press releases or promotional copy.
Independent artist-run grant redistributing a portion of Karim Boumjimar's artwork sales as a no-strings-attached 500 EUR award for working-class creatives anywhere in the world. Funds may be used for artistic production, research, materials, travel or basic living needs. Simple application: short intro and a sample of work or interests. No fee, no reporting, no obligation to produce. Rolling review based on available funds; non-selected applicants stay in the pool for future rounds.