Develop novel, difficult evaluation tasks for frontier AI models; verify task specifications and solvability; baseline and score model and human completions; and improve task development infrastructure and workflows to support METR's Time Horizons evaluations.

Join METR's infrastructure team to build and maintain an open-source LLM evaluation platform: debug and improve evaluations, deploy and manage cloud infrastructure, build observability and monitoring, automate tasks with agents, and support AI researchers. Fixed-term in-person internship (Aug 31–Dec 18, 2026) with potential conversion to full-time.

Open call for expressions of interest across research, engineering, communications, operations, and contractor roles. Candidates should attach a CV and describe how they could contribute. Applicants may be asked to complete 1–3 paid work tests, interviews, and a possible 1–4 week trial. Technical roles prefer in-person presence in Berkeley; operations roles require relocation. Visa sponsorship is available for technical hires. Submissions are kept on file for future openings.