Applied Physics
About this role
About the Role What if your deep expertise in physics could directly influence how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose their reasoning failures, and help build systems that genuinely respect the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and a sharp, rigorous mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced, open-ended physics problems at PhD qualifying exam level — requiring multi-step logical reasoning and rigorous mathematical derivation - Author detailed "golden response" solutions with flawless step-by-step workings, correct physical constants, and precise unit handling - Audit AI-generated simulations, proofs, and explanations for physical consistency — identifying where models hallucinate physics that violates first principles - Provide structured, expert feedback to improve AI reasoning around conservation laws, boundary conditions, and fundamental physical constraints - Work independently and asynchronously — fully on your own schedule Who You Are - PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery of core physics disciplines: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose - Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you - Self-motivated and consistent when working independently - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance workflows - Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy) - Background in computational physics, experimental physics, or engineering physics - Experience writing technical documentation or academic publications Why Join Us - Work on high-impact AI projects alongside leading AI research labs and teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually rigorous work - Gain firsthand exposure to how cutting-edge large language models are trained and evaluated - 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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