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