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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

FunderAnthropic
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 timeApplication screening and technical selection; the public post does not promise a fixed response time.
EligibilityCandidates 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.
RestrictionsFull-time four-month mentored research aimed at public output such as a paper, with close project collaboration and substantial compute. Dilution/equity: none.
Statusclosed

Always confirm on the official page before applying — dates and terms change.

Application process

  1. Apply to a published cohort
  2. Technical and motivation screening
  3. Anthropic mentors pitch project ideas
  4. Fellow and mentor shape an empirical project
  5. 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

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Track record

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.

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