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Physics Masters – AI Training Expert About The Role We're looking for physics Masters graduates and students to help train and evaluate cutting-edge AI models. Your advanced problem-solving skills will directly shape how AI reasons through complex physics — from undergraduate fundamentals to graduate-level challenges. This is a fully remote, flexible contract role working alongside leading AI research labs. No prior AI experience needed — just a strong command of physics and a sharp analytical mind. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design rigorous physics problems spanning mechanics, electromagnetism, thermodynamics, quantum mechanics, and more Develop clear, step-by-step solutions that demonstrate strong logical reasoning Evaluate AI-generated responses for accuracy, depth, and quality of scientific reasoning Collaborate with researchers to build and refine benchmarks across undergraduate to Masters-level physics topics Provide structured, actionable feedback that helps improve AI model performance Who You Are Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field Strong problem-solving ability across multiple advanced physics domains Able to communicate complex concepts clearly and precisely in writing Detail-oriented with a systematic approach to evaluating technical content Self-motivated and comfortable working independently and asynchronously No prior AI experience required Nice to Have Experience with data annotation, quality evaluation, or academic research Familiarity with AI or machine learning concepts Prior tutoring, teaching, or curriculum development experience in physics Why Join Us Work on cutting-edge AI projects with top research labs and directly influence how AI understands physics Fully remote and flexible — work on your schedule, from anywhere Freelance perks: autonomy, variety, and meaningful intellectual work Collaborate with a global network of domain experts and researchers Potential for ongoing work and contract renewal