Applied Physics
About this role
About the Role What if your deep 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 they respect the fundamental laws of the universe. This is a fully remote, flexible contract role. No AI background 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 physics problems — craft PhD qualifying exam-level challenges that demand multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electromagnetism, and thermodynamics - Author gold-standard solutions — write precise, step-by-step "golden responses" where every unit, constant, and logical step is airtight - Audit AI reasoning — evaluate AI-generated simulations and proofs for physical consistency, identifying where models "hallucinate" physics that violates first principles - Refine model behaviour — provide structured, expert feedback that improves how AI handles boundary conditions, conservation laws, and physics-informed reasoning - Work independently and asynchronously — fully on your own schedule Who You Are - PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep 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 English - Uncompromising attention to detail — units, scientific notation, and logical flow matter to you - Self-motivated and rigorous when working independently - No prior AI experience required Nice to Have - Prior experience with data annotation, scientific dataset evaluation, or quality assurance workflows - Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar scientific computing tools - Background spanning multiple subfields of physics or adjacent engineering disciplines Why Join Us - Work on high-impact AI projects alongside leading research labs and AI teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually stimulating work - Gain direct exposure to how frontier LLMs are trained and evaluated - Contribute to ensuring AI systems reason about the physical world with integrity - Potential for ongoing work and contract extension as new projects launch
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