Anthropic Fellows Program (AI Safety)
$3,850 USD, £2,310 GBP or $4,300 CAD per week, plus approximately $15,000 per month of compute; the official source does not publish a guaranteed total stipend · Anthropic
Four months of mentored, empirical AI safety research (interpretability, scalable oversight, adversarial robustness/AI control, model organisms, AI security, model welfare) with close mentorship from Anthropic researchers. Current lifecycle: closed. Real economics: $3,850 USD, £2,310 GBP or $4,300 CAD per week, plus approximately $15,000 per month of compute; the official source does not publish a guaranteed total stipend.
Tier 3aifellowshipai-safetyresearch
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Key facts
| Funder | Anthropic |
| Amount | $3,850 USD, £2,310 GBP or $4,300 CAD per week, plus approximately $15,000 per month of compute; the official source does not publish a guaranteed total stipend |
| Decision time | Application screening and technical selection; the public post does not promise a fixed response time. |
| Eligibility | Candidates must be able to execute empirical research and code in Python; PhD, prior ML work and publications are not required. Work-location and authorization constraints must be taken from the live application, not inferred from the blog post. |
| Restrictions | Full-time four-month mentored research aimed at public output such as a paper, with close project collaboration and substantial compute. Dilution/equity: none. |
| Status | closed |
Always confirm on the official page before applying — dates and terms change.
Application process
- Apply to a published cohort
- Technical and motivation screening
- Anthropic mentors pitch project ideas
- Fellow and mentor shape an empirical project
- Execute for four months and aim for a public research output
Background
Anthropic operates Anthropic Fellows Program (AI Safety). The official-source pass separates the currently actionable opportunity from historical cohorts and separates per-recipient value from headline program envelopes. Anthropic says over 80% of first-cohort fellows produced papers and over 40% later joined Anthropic full-time.
How the application really works
Apply to a published cohort → Technical and motivation screening → Anthropic mentors pitch project ideas → Fellow and mentor shape an empirical project → Execute for four months and aim for a public research output
Tips
- Demonstrate: Strong Python and technical fundamentals
- Demonstrate: Ability to turn ambiguous safety questions into concrete progress
- Demonstrate: Motivation to reduce catastrophic AI risk and evidence of learning/shipping
Watch out for
- Current lifecycle is closed.
- Dilution/equity treatment: none.
- Full-time four-month mentored research aimed at public output such as a paper, with close project collaboration and substantial compute.
Track record
- Anthropic says over 80% of first-cohort fellows produced papers and over 40% later joined Anthropic full-time.
No applicant count or acceptance rate published.
Frequently asked questions
- Is this opportunity actionable now?
- closed. Four-month cohorts; the May/July 2026 call is closed and no next cohort is posted.
- What is the real per-recipient economic value?
- $3,850 USD, £2,310 GBP or $4,300 CAD per week, plus approximately $15,000 per month of compute; the official source does not publish a guaranteed total stipend
- Which jurisdictions and applicants are eligible?
- Candidates must be able to execute empirical research and code in Python; PhD, prior ML work and publications are not required. Work-location and authorization constraints must be taken from the live application, not inferred from the blog post.
- How does selection work?
- Apply to a published cohort; Technical and motivation screening; Anthropic mentors pitch project ideas; Fellow and mentor shape an empirical project; Execute for four months and aim for a public research output. Application screening and technical selection; the public post does not promise a fixed response time.
- What appears to win?
- Strong Python and technical fundamentals; Ability to turn ambiguous safety questions into concrete progress; Motivation to reduce catastrophic AI risk and evidence of learning/shipping
- What burden or follow-on should I expect?
- Full-time four-month mentored research aimed at public output such as a paper, with close project collaboration and substantial compute. No automatic renewal; strong fellows may be hired, but employment is not promised.
Related grants
Sources
- alignment.anthropic.com/2025/anthropic-fellows-program-2026 — Official weekly stipend rates, monthly compute support, cohort length, eligibility and outcomes (checked 2026-08-10)