Internships
Work on research that gets published
We take on interns to work directly on the evaluation science the rest of the team does, across mathematics, the physical sciences, biology, and computer science. Whatever you contribute to is published under your name. This is a paid internship.
Apply for an internshipWhy intern with us
Real ownership
Not a rotation through tasks. An internship here means a piece of work with your name on it: a benchmark task, an evaluation write-up, a section of a report.
Published under your name
Whatever you contribute to goes out openly, credited, the same as everything else we publish. It exists after the internship ends.
Direct access to the team
We're a small group. You'll work directly with the people who designed the methodology.
How it works
Domains we're building evaluation in
From mathematics to medicine
Mathematics
Applied math and inverse problems, the modeling work behind rigorous evaluation design.
Physics
Simulation and dynamical systems, the physical sciences AI is increasingly asked to reason about.
Chemistry
Molecular design and property prediction, where a wrong answer is expensive to find out about.
Biology & Medicine
From protein design to clinical reasoning, where evaluation has to meet a much higher bar.
Computer Science
Systems, security, and the software-engineering tasks most benchmarks already try to cover.
Earth & Environmental Science
Planetary and environmental data, where ground truth is hard-won and expensive.
Recent work
A sense of what interns would be working alongside.
Work on something real.
Tell us about your background and what interests you.
Apply for an internship