Physics Masters

Physics Expert – AI Training & Evaluation

About The Role

We're partnering with the world's leading AI research labs to make AI smarter — and we need physicists to help get there. If you hold or are pursuing a Master's in Physics, this is your chance to apply your deep domain knowledge to one of the most exciting frontiers in technology.

You'll design challenging physics problems, evaluate how well AI models reason through them, and help build the benchmarks that push AI capabilities forward. No AI experience needed — your physics expertise is what matters.

Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week (flexible)

What You'll Do

Design rigorous, advanced physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more Develop clear, step-by-step solutions that demonstrate structured physical reasoning Evaluate AI-generated responses for scientific accuracy, logical coherence, and solution quality Collaborate with researchers to refine and expand benchmarks across undergraduate-to-Masters-level physics topics Provide structured, actionable feedback that directly improves AI model performance

Who You Are

Currently pursuing or have completed a Master's degree in Physics, Applied Physics, or a closely related field Strong problem-solving skills across advanced physics domains Able to explain complex concepts clearly and write structured, precise feedback Self-motivated and comfortable working independently and asynchronously No prior AI or data annotation experience required

Nice to Have

Experience in data annotation, quality evaluation, or academic assessment Familiarity with AI or machine learning concepts Background in physics education, tutoring, or research

Why Join Us

Work directly with cutting-edge large language models used by top AI research labs Fully remote and asynchronous — work on your own schedule from anywhere Freelance flexibility: high autonomy, no fixed hours, international reach Meaningful work that directly shapes the future of AI reasoning in STEM Potential for ongoing contract renewals and expanded project involvement