About the Role
What if your years of physics expertise could directly shape how AI reasons through the most complex problems in science? We're looking for PhD-level physicists to evaluate, critique, and help build the training data that teaches frontier AI models to think rigorously — from quantum mechanics to thermodynamics to electromagnetism.
This is a fully remote, flexible contract role. No AI background needed — just deep domain expertise, a sharp analytical mind, and a passion for scientific precision.
- Type: Hourly Contract
- Location: Remote
- Commitment: Minimum 15 hours/week, fully asynchronous
What You'll Do
- Develop and refine advanced physics questions spanning specialized subfields — from classical mechanics to quantum field theory
- Review and evaluate AI-generated solutions to physics problems, identifying errors, logical gaps, and conceptual misunderstandings
- Annotate and categorize physics problems, concepts, diagrams, and experimental data to support model training
- Map relationships between key physics principles and subfields to help AI models grasp the structure of the discipline
- Contribute to building high-quality training datasets that span a full range of topics and difficulty levels
- Provide clear, structured feedback that directly improves how AI models reason through scientific problems
Who You Are
- You hold a PhD in physics or a closely related field, with demonstrated expertise through research, teaching, or advanced problem-solving
- You have experience developing or critically reviewing sophisticated scientific content — such as research publications, curriculum design, problem sets, or technical simulations
- You can communicate complex physical concepts with clarity, and enjoy translating abstract theory into precise, well-reasoned explanations
- You're detail-oriented, methodical, and hold yourself to a high standard of scientific rigor
- You're self-motivated and comfortable working independently in an asynchronous environment
Nice to Have
- Experience with data labeling, RLHF, or other AI training or model evaluation workflows
- Background spanning multiple subfields — e.g., condensed matter, astrophysics, optics, nuclear, or computational physics
- Experience writing or reviewing technical educational content at the graduate level
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and top AI teams
- Fully remote and asynchronous — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Make a direct, tangible impact on how AI models understand and reason through science
- High-performing contributors take the lead on new programs and mentor incoming subject matter experts
- Potential for ongoing work and contract extension as new projects launch