Applied Physics
About this role
About the Role What if your years of rigorous physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve the reasoning of cutting-edge Large Language Models — ensuring they don't just sound smart, but actually think in ways that respect the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and academics who want to apply their expertise beyond the lab. No prior AI experience required — just deep domain knowledge and a sharp 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 that demand multi-step logical reasoning, mathematical derivation, and first-principles thinking - Author Ground-Truth Solutions — Produce rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right - Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates conservation laws or boundary conditions - Refine Model Behaviour — Provide structured, expert feedback that helps AI systems develop genuinely physics-informed reasoning across topics like quantum mechanics, electrodynamics, and thermodynamics - Work Independently — Complete task-based assignments 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 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 attention to detail — you notice when a unit is off, a sign is wrong, or a proof skips a step - 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 workflows - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research, academic publishing, or technical writing - Familiarity with AI tools or language model evaluation as an end user 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 - Apply your physics expertise in a genuinely novel and consequential domain - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.