Physics Masters
About this role
About the Role We're looking for Physics Masters graduates and current students to help train and improve cutting-edge AI models. Your expertise in advanced physics will directly shape how AI reasons through complex scientific problems — making a real impact on the future of intelligent systems. This is a fully remote, flexible contract role working alongside top AI research labs. No prior AI experience required — 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 challenging, original physics problems across domains such as mechanics, electromagnetism, thermodynamics, and quantum physics - Develop clear, rigorous step-by-step solutions that demonstrate expert reasoning - Evaluate AI-generated physics responses for accuracy, logic, and quality - Collaborate with researchers to refine benchmarks spanning undergraduate to Masters-level topics - Provide structured written feedback to improve AI reasoning capabilities Who You Are - Currently pursuing or holding a Masters degree in Physics, Applied Physics, or a closely related field - Strong problem-solving skills across multiple advanced physics domains - Able to communicate complex concepts clearly and concisely 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, data quality review, or evaluation workflows - Familiarity with AI language models or scientific benchmarking - Background spanning multiple physics specialisations Why Join Us - Work directly on frontier AI projects with world-leading research labs - Fully remote and flexible — set your own schedule, work from anywhere - Meaningful work: your physics expertise shapes how AI understands the physical world - High autonomy and contractor flexibility with potential for ongoing engagement - Gain exposure to cutting-edge large language model development
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