About the Role
We're looking for physics graduates and postgraduates to help train and evaluate cutting-edge AI models. Your deep understanding of physical principles will directly shape how the next generation of AI reasons through complex scientific problems — making a real impact on the frontier of AI research.
This is a fully remote, flexible contract role working alongside top AI research labs. No prior AI experience needed — just strong physics knowledge and clear analytical thinking.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design challenging, high-quality physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more
- Develop rigorous, step-by-step solutions that demonstrate clear physical reasoning
- Evaluate AI-generated responses for accuracy, logical consistency, and depth of understanding
- Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level physics topics
- Provide structured, actionable feedback to improve AI reasoning quality
Who You Are
- Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field
- Strong command of advanced physics concepts and problem-solving across multiple domains
- Able to communicate complex ideas clearly and precisely in writing
- Detail-oriented with a systematic approach to evaluating reasoning quality
- Self-motivated and comfortable working independently and asynchronously
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, evaluation systems, or academic tutoring
- Familiarity with AI language models or benchmark design
- Background spanning multiple subfields of physics
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: high autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI understands science
- Potential for ongoing work and contract renewal