Remote AI Safety Research Resident in London

Remote AI Safety Research Resident in London

London Temporary 19350 - 23650 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Conduct research on AI safety and connect it with real-world applications.
  • Company: Join Anthropic Limited, a leader in AI safety research.
  • Benefits: Paid residency, mentorship from experts, and access to advanced AI models.
  • Other info: Flexible placements from six weeks to six months with career growth potential.
  • Why this job: Make a difference in AI safety while working remotely or in London.
  • Qualifications: Passion for AI safety and research experience preferred.

The predicted salary is between 19350 - 23650 Β£ per year.

Anthropic Limited in the United Kingdom invites you to join the Anthropic Residency, a paid fixed-term research program linking empirical AI safety with real-world systems.

Placements range six weeks to six months, with mentorship from leading researchers and access to Claude models and GPU compute.

Remote UK placement is supported, with a preference for London-office presence; full-time commitment for the residency and visa sponsorship for eligible roles.

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Remote AI Safety Research Resident in London employer: Anthropic Limited

At Anthropic Limited, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where your contributions directly impact our cutting-edge AI solutions. Join us to be part of a forward-thinking team that values safety and excellence in technology, while enjoying the vibrant lifestyle that London has to offer.

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Contact Details:

Anthropic Limited Recruitment Team

We think you need these skills to ace Remote AI Safety Research Resident in London

Empirical Research Skills
AI Safety Knowledge
Understanding of Real-World Systems
Mentorship Experience
Access to Claude Models
GPU Computing Skills
Remote Collaboration