Physics Masters
About this role
About the Role We're looking for physics graduate students and degree holders to help train and evaluate cutting-edge AI models. Working with Alignerr — a partner to the world's leading AI research labs — you'll apply your advanced physics knowledge to problems that directly shape how the next generation of AI reasons about the physical world. This is a fully remote, flexible contract role. No prior AI experience needed — your physics expertise is what matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design challenging, graduate-level physics problems across domains including mechanics, electromagnetism, thermodynamics, and quantum physics - Develop clear, rigorous step-by-step solutions that demonstrate strong physical reasoning - Evaluate AI-generated responses for scientific accuracy, logical consistency, and quality of reasoning - Collaborate with researchers to build and refine benchmarks spanning undergraduate through Masters-level physics - Provide structured, actionable feedback that helps AI systems improve over time 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 topics and the ability to reason through complex problems systematically - Able to communicate technical concepts clearly and precisely in writing - Detail-oriented and comfortable providing structured, evidence-based feedback - Self-motivated and able to work independently in a remote, async environment - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Familiarity with AI language models or benchmark design - Background spanning multiple physics subfields Why Join Us - Work on meaningful, intellectually engaging problems at the frontier of AI development - Fully remote and asynchronous — work when and where it suits you - Freelance flexibility: high autonomy, no rigid schedules, and global reach - Direct engagement with industry-leading large language models - Potential for ongoing contract renewals and expanded project opportunities - Contribute to research that shapes how AI understands and reasons about the physical world
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