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"Anthropic Fellows Program for AI Safety Research in Interpretability, Scalable Oversight, AI Control and Adversarial Robustness" is currently closed and not accepting applications.
The Anthropic Fellows Program is a four-month, mentored AI safety research fellowship, and the detail that makes it genuinely unusual is the entry bar: Anthropic states that no PhD, no prior machine learning experience and no published papers are required.
What it asks for instead is coding proficiency in Python, the ability to work on ambiguous problems, enthusiasm for mitigating AI risks, and the capacity to acquire new skills quickly.
For people trying to move into AI safety research from software engineering or an adjacent quantitative field, that combination - no credential requirement, a 3,850 dollar weekly stipend, and roughly 15,000 dollars per month of compute - is close to unique among safety programmes, most of which gate on doctoral study or prior publications.
Research scope covers scalable oversight, adversarial robustness, AI control, model organisms, mechanistic interpretability, AI security and model welfare. Recent fellow projects give a concrete sense of the range: cyberattack mitigation, blockchain vulnerabilities, jailbreak defences, model interpretability through circuit tracing, and agentic misalignment in simulated environments.
The compute allocation deserves emphasis because it is what distinguishes this from an unpaid or nominally-funded research placement - fellows can run experiments at a scale that independent safety researchers usually cannot reach, and for interpretability and evaluations work that is often the binding constraint rather than salary.
Prospective applicants should be realistic about what a four-month clock means: projects are scoped to produce a result in that window, and the programme suits someone who can commit full time. The documented deadline of 26 July applied to the November 2026 cohort. Anthropic runs the programme in recurring cohorts, so the alignment.
anthropic. com page is worth monitoring for the next intake.
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Or search similar grants →According to the current listing, eligibility includes: Anthropic states explicitly that no PhD, no prior machine learning experience and no published papers are required. Strong candidates have coding proficiency in Python, can tackle ambiguous problems, demonstrate enthusiasm for mitigating AI risks, and can rapidly acquire new skills. The fellowship runs four months and is full time. Compensation is a stipend of 3,850 US dollars per week plus approximately 15,000 dollars per month in compute funding for running experiments. Research scope covers scalable oversight, adversarial robustness, AI control, model organisms, mechanistic interpretability, AI security and model welfare; recent fellow projects have addressed cyberattack mitigation, blockchain vulnerabilities, jailbreak defences, model interpretability through circuit tracing, and agentic misalignment in simulated environments. Fellows are mentored by Anthropic researchers. The documented application deadline was 26 July for the November 2026 cohort. The programme runs in recurring cohorts rather than as a standing open call. Applicants should confirm the current cohort's start date, stipend, compute allocation, location and work-authorisation requirements at alignment.anthropic.com before applying, since these details vary between cohorts and the published figures above are for the November 2026 intake. Confirm the full requirements in the official notice before applying.
The current listing shows A stipend of 3,850 US dollars per week for a four-month fellowship, plus approximately 15,000 dollars per month in compute funding. Over roughly 17 weeks the stipend totals approximately 65,000 dollars, and four months of compute at 15,000 dollars per month adds approximately 60,000 dollars, for a combined package of roughly 125,000 dollars. amount_min is set to 65,000 (the cash stipend alone, which is what the fellow personally receives) and amount_max to 125,000 (stipend plus the compute allocation). Both figures are CALCULATED from Anthropic's published weekly stipend and monthly compute figures rather than being totals Anthropic itself publishes. The compute component is not cash to the fellow - it is an allocation for running experiments - so the two numbers are not interchangeable for personal financial planning. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was July 26, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Anthropic Fellows Program for AI Safety Research in Interpretability, Scalable Oversight, AI Control and Adversarial Robustness is funded by Anthropic. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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