Opportunity overview
Anthropic builds Claude — one of the world's most advanced AI assistants. Founded by ex-OpenAI researchers, they've raised $7.3B+ and are hiring across Research, Engineering, Policy, and Operations. Unusually, about half their technical staff had no prior ML experience, and engineers routinely co-author research papers. Visa sponsorship available — India privacy policy confirmed on their careers page.
Who this may suit
Engineers, researchers, and policy/operations professionals who care about AI safety — independent research, blog posts, and open source contributions are valued over credentials alone
Typical requirements
Technical roles use live coding (Colab/CodeSignal); non-technical interviews are conversational. All interviews via Google Meet, can accommodate multiple timezones
Requirements can vary between projects or individual openings. Treat this summary as a starting point and use the destination page as the current source of truth.
What to check before applying
Most roles are Bay Area-based with regular office attendance — remote is possible but hybrid is the norm. You can re-apply after 12 months if not selected. Only contact from @anthropic.com emails is legitimate
Getting started with Anthropic
Best suited for: Engineers, researchers, and policy/operations professionals who care about AI safety — independent research, blog posts, and open source contributions are valued over credentials alone. Before applying, check what the role typically expects: Technical roles use live coding (Colab/CodeSignal); non-technical interviews are conversational. All interviews via Google Meet, can accommodate multiple timezones. Anthropic hires for this as full-time or long-term contract work rather than an open task marketplace, so expect a standard interview-style process instead of an instant qualification test.
Where Anthropic fits among AI evaluator roles
Anthropic builds Claude — one of the world's most advanced AI assistants. Founded by ex-OpenAI researchers, they've raised $7.3B+ and are hiring across Research, Engineering, Policy, and Operations. Unusually, about half their technical staff had no prior ML experience, and engineers routinely co-author research papers. Visa sponsorship available — India privacy policy confirmed on their careers page. Within the wider remote AI training jobs category on this list, Anthropic is worth comparing against similar listings if you are cross-applying to several platforms rather than relying on a single source of income. Most roles are Bay Area-based with regular office attendance — remote is possible but hybrid is the norm. You can re-apply after 12 months if not selected. Only contact from @anthropic.com emails is legitimate. As with any platform in this space, treat advertised pay as a range tied to specific task types rather than a guaranteed flat rate, and re-check the official listing periodically since openings and availability change often.