Physics Masters

Physics Masters — AI Data Trainer
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

Work arrangement
Yes