Applied Physics
About this role
About the Role What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge large language models — exposing the gaps in their physical reasoning and helping ensure that AI respects the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience needed — just deep domain mastery and a rigorous, analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and rigorous mathematical derivation - Author definitive "golden" solutions with precise step-by-step workings, correct physical constants, and flawless unit conversions - Audit AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles - Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and fundamental physical constraints - Work independently and asynchronously — fully on your own schedule Who You Are - Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising eye for detail — units, scientific notation, dimensional analysis, and logical proof structure are second nature - Self-motivated and reliable when working independently - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs - Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar - Background in research, academia, or applied engineering environments Why Join Us - Work on high-impact AI projects alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually demanding work - Gain direct exposure to how frontier AI models are built and trained - Contribute to ensuring AI systems reason correctly about the physical world - Potential for ongoing work and contract extension as new projects launch
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