Applied Physics Specialist
About this role
About the Role What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical universe? We're looking for PhD-level Applied Physicists to probe the limits of cutting-edge Large Language Models — exposing where their reasoning breaks down and helping ensure they respect the fundamental laws that govern reality. This is a fully remote, flexible contract role built for scientists who love rigorous problem-solving. No prior AI experience needed — just deep mastery of physics and an uncompromising standard for correctness. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step logical reasoning, complex mathematical derivation, and mastery of core physical principles - Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical transition is airtight - Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles - Refine Model Behaviour — Provide structured, expert feedback that helps AI systems develop physics-informed reasoning, correctly applying constraints like boundary conditions and conservation laws - Work Across Core Domains — Engage with university- and research-level benchmarks in quantum mechanics, electromagnetism, thermodynamics, classical mechanics, and statistical mechanics Who You Are - Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose - Meticulous attention to detail — units, scientific notation, and logical proof structure matter to you at a fundamental level - Self-motivated and reliable when working independently and asynchronously - 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, Python (NumPy/SciPy), or similar scientific computing environments - Background in academic research, teaching, or technical writing at the graduate level Why Join Us - Work directly on cutting-edge AI projects in collaboration with leading AI research labs - Fully remote and flexible — structure your hours around your schedule, 10 to 40 hours per week - Freelance autonomy with meaningful, intellectually stimulating work that engages your expertise at the highest level - Gain rare, hands-on exposure to how frontier LLMs are trained and evaluated on scientific reasoning - Potential for ongoing work and contract extension as new projects launch
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