Currently 9 active fellowships open to applicants in Remote (work-from-anywhere), across AI, arts, film, journalism, 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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GAIN SSA (Global AI Youth Network, Sub-Saharan Africa) runs the AI Safety Essentials Fellowship for residents of Africa considering how they can be effective contributors in shaping the continent's transition toward containing risks from transformative AI. Fellows spend six weeks mapping the priorities and gaps that need to be filled in Africa's AI safety ecosystem, through curated pre-reading and a live group call each week (about 5 hours per week). CURRICULUM: existential risks and catastrophic vectors; frontier AI models and Africa; defining safe and beneficial AI; subfields and alignment architectures; Africa's AI safety landscape and policy; and a capstone week on fellowships and career launch, with guidance toward international pipelines such as MATS, ERA, BlueDot and GovAI. Mentorship comes from international AI safety researchers, governance fellows and peer builders. FUNDING: after the program, top capstone action-plan proposals are funded from a USD 500 to 1,000 micro-grant pool (capped at USD 1,000), including proposals needing compute, travel to AI alignment conferences in Sub-Saharan Africa, or communication work (for example Substack Pro for writers); results are shared within 10 days of receiving a proposal. The main aim is to have participants take action to build Africa's first AI safety systems. APPLICATION: expression of interest for the inaugural cohort via the Google Form linked from the program page. DEADLINE: expressions of interest close 8 November 2026.
The Reynolds Journalism Institute at the University of Missouri funds people and teams to build and launch a tool, workflow or product that helps newsrooms, in three tracks: Individual (USD 75,000), Institutional (USD 75,000, paid to a host organisation or the fellow) and Emerging Technology (USD 100,000, where AI or another new technology must be essential to the solution). The output must be a free, open-source resource usable by US journalists; tools limited to one city or state are unlikely to be funded. The fellowship is remote and runs for eight months from 28 June 2027 with an in-person kickoff at RJI and a couple of paid visits. ELIGIBILITY: anyone, anywhere; no age, background or journalism credential required. Applications open 2 November 2026 on Submittable; a shortlist is invited in early to mid February 2027 to submit a fuller application, with finalist interviews 5 to 23 April 2027. DEADLINE: 8 January 2027 (first round; no time zone stated, RJI is on US Central time).
Pantheon, which builds general-purpose robot models, runs a remote research fellowship in which each fellow leads a project on an open problem the team meets while training and evaluating its models; strong results are folded into the next generation of those models. WHO: graduate students and exceptional undergraduates with backgrounds in pretraining large models, reinforcement learning or adjacent fields who want to work on general-purpose robotics. CURRENT RESEARCH QUESTIONS: value learning for general-purpose tasks; model drift and test-time adaptation in world models; multimodal representation (vision, touch, force, proprioception at different rates or missing); scaling laws for forward dynamics models versus video pretraining; learning from deliberately induced failure. OFFER: USD 6,000/month stipend, enterprise-level compute, weekly 1:1 mentorship (team includes ETH Zurich alumni, ICML authors, NeurIPS award winners, and researchers from xAI and Jane Street), work toward a paper or other public research output; outstanding fellows may be offered full-time roles. Past fellows came from ETH Zurich, IIT Bombay, Yale, Stanford and Cambridge. APPLY: email your CV, a short note on the research questions that excite you, and any relevant work to fellowship@pantheon.inc. No deadline is published (rolling).
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.
The Digital Impact Alliance (DIAL) Research Fellowship supports curious, passionate mid-career researchers and practitioners to explore frontier questions on digital public infrastructure (DPI) and data governance. Fellows bring their own knowledge and research agenda while contributing to DIAL's core thematic priorities: creating more value for more people from data; understanding how digital systems and services impact people, including and especially the most marginalised; and accelerating the adoption of data-sharing and governance practices that fuel innovation and empower people. SUPPORT: a USD 5,000 stipend for research completed over 6-8 months, plus mentorship from DIAL staff and industry experts, access to DIAL's network and resources, collaboration with partner organisations, and support amplifying the work. Each fellow produces two preliminary pieces and one final, more extensive output (research papers or reports, policy briefs, expert-comment series, etc.). ELIGIBILITY: professionals from academia, the private sector, and civil society, typically with 8-15 years of experience in digital development, policy, or research; demonstrated work at the intersection of technology and society (including DPI and data governance); a track record of high-quality writing, research, or policy briefs; experience working in or with global majority countries; and strong analytical and communication skills. TO APPLY (rolling basis): submit a CV or resume, a writing sample or portfolio, and a research proposal. Questions: fellows@dial.global. Apply via https://dial.global/apply-to-our-fellows-program/.
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.
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.
Sequoia's Open Source Fellowship pays developers to work full time on open-source software without starting a company. WHO: any developer working on an open-source project, anywhere in the world; selection favours existing projects with real-world adoption (not just GitHub stars), including web frameworks, tooling and infrastructure. Fellows should plan significant improvements or investments in the project or support its expansion, and keep full ownership of all code written before, during and after the fellowship. WHAT YOU GET: a stipend sized to cover reasonable living expenses for 6 to 12 months, with no equity or obligations; roughly 2 to 3 fellows a year. APPLICATION: a brief questionnaire on the fellowship page, reviewed on a rolling basis; Sequoia contacts applicants whose projects are a good fit. DEADLINE: rolling.
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.