Help define how frontier AI models reason about physics.
1\. Overview
We are looking for senior physicists to improve how frontier AI models reason about real physics research.
Your scientific judgment is the substance of this role. You will review the quality of physics reasoning tasks and model outputs, write the problem specifications and reference solutions that define what "correct" looks like, and design benchmarks that show whether a model is genuinely improving. We are looking for a practicing specialist rather than a generalist.
This role is fully remote.
2\. Key Responsibilities
- Expert review: Assess physics tasks and model outputs, catching flawed derivations, unjustified approximations, dimensional and limit errors, and answers that read well but would not survive peer review.
- Problem specs and reference solutions: Write precise problem statements and rigorous reference solutions that reflect how research physics is actually done.
- Benchmarks: Design challenging, research-level problems and evaluation sets in your area of specialization.
- Calibration: Work with other researchers and experts in adjacent fields to turn tacit expert judgment into explicit, teachable criteria.
3\. Core Qualifications
- Education: PhD in physics, astrophysics, applied physics, or a closely related field.
- Seniority: A faculty appointment, principal investigator, staff or senior scientist, or an equivalent senior research role at a university, national laboratory, or research organization.