Applied Physics Specialist
About this role
About the Role What if your years of physics training could directly influence how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — designing rigorous problems, auditing AI reasoning, and ensuring these systems never violate the fundamental laws that govern reality. This is a fully remote, flexible contract role built for researchers and scientists who want to contribute to something genuinely consequential. No prior AI experience needed — just deep mastery of physics and the ability to think critically about where AI reasoning breaks down. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems: Craft PhD qualifying exam-level physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of physical principles across domains like quantum mechanics, electromagnetism, and thermodynamics - Author Ground-Truth Solutions: Develop precise, step-by-step "golden responses" — where every physical constant, unit conversion, and logical step is airtight and correct - 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 Behaviour: Provide structured, expert feedback that helps AI systems develop genuine physics-informed reasoning, including correct handling of boundary conditions, symmetry constraints, and conservation laws Who You Are - PhD completed or in final stages 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 analytical writing ability — you can explain complex derivations in clear, structured English without sacrificing rigour - Obsessively precise about units, scientific notation, dimensional analysis, and the logical flow of a proof - Self-motivated and comfortable working independently on task-based assignments - 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 computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research-level benchmarking or physics education Why Join Us - Work on high-impact AI projects alongside the world's leading AI research labs - Fully remote and flexible — work on your own schedule, wherever you are - Apply your deepest expertise to problems that actually matter for the future of AI - Freelance autonomy with the satisfaction of meaningful, intellectually demanding work - Exposure to frontier AI models and how they are trained and evaluated - Potential for ongoing work and contract extension as new projects launch
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