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 AI models — exposing the gaps in their physical reasoning and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role. No AI background 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 Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation - Author Ground-Truth Solutions — Produce precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and airtight logical flow - Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency — identifying where models "hallucinate" physics that violates first principles - Improve Physics-Informed AI — Provide structured, expert feedback that helps AI systems better understand constraints like boundary conditions, conservation laws, and symmetry principles Who You Are - Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured written English - Uncompromising attention to detail — units, scientific notation, and logical proof structure matter deeply to you - Self-motivated and reliable when working independently on technical tasks - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs - Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar scientific computing tools - Background in computational physics, applied mathematics, or engineering physics Why Join Us - Work on high-impact AI projects alongside the world's leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level technical work - Gain rare insight into how frontier AI models are trained and where they break down - Potential for ongoing work and contract extension as new projects launch
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