Applied Physics
About this role
About the Role What if your years of physics training 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 nature. This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, intellectually stimulating work on their own schedule. No prior AI experience required — just deep physics expertise and a sharp analytical mind. - 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, rigorous mathematical derivation, and deep conceptual understanding across topics like quantum mechanics, electrodynamics, and thermodynamics - Author Ground-Truth Solutions — Write definitive, step-by-step "golden responses" where every physical constant, unit conversion, and logical inference is airtight and defensible - Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles like conservation of energy or momentum - Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop more robust physics-informed reasoning, including correct handling of boundary conditions, symmetry arguments, and physical constraints Who You Are - Holds a PhD (completed or near-final stage) 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 at explaining complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, dimensional analysis, and logical proof structure all matter to you - Self-motivated and comfortable 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 technical content - Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar - Background in physics education, research publishing, or technical writing - Familiarity with AI or language model evaluation workflows Why Join Us - Work on high-impact AI projects in collaboration with leading AI research labs - Fully remote and asynchronous — work when and where it suits you - Freelance autonomy with the intellectual depth of research-grade work - Put your expertise to use on problems that genuinely challenge you - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.