Applied Physics Specialist
About this role
About the Role What if your years of physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to rigorously challenge cutting-edge AI models — exposing the gaps in their reasoning, catching violations of fundamental physical laws, and helping build AI that truly understands how the universe works. This is a fully remote, flexible contract role built for researchers and specialists who want to apply their expertise beyond the lab. No AI background required — just deep, battle-tested knowledge of physics. - 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 reasoning, rigorous mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and beyond - Author Gold-Standard Solutions — Write precise, step-by-step "golden responses" that serve as the benchmark for correct physical reasoning — every unit, constant, and logical step verified - Audit AI Reasoning — Evaluate AI-generated proofs, simulations, and explanations for physical consistency, identifying where models "hallucinate" physics that violates conservation laws, boundary conditions, or established theory - Refine Model Behavior — Provide structured, expert feedback that directly improves how AI models reason about the physical world — from classical mechanics to quantum systems 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 communicate complex physical reasoning and mathematical derivations in clear, structured written English - Uncompromising attention to detail — units, notation, dimensional analysis, and logical rigor are second nature to you - Self-directed and reliable working independently in an asynchronous environment - No prior AI or data annotation experience required Nice to Have - Experience with scientific data evaluation, annotation, or quality review workflows - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research-level benchmarking or academic problem design Why Join Us - Work on high-impact AI projects in collaboration with leading AI research labs - Fully remote and flexible — structure your hours around your existing commitments - Freelance autonomy: choose your pace, work asynchronously, and contribute globally - Apply your expertise to problems that matter — helping AI reason correctly about the physical world - Exposure to how frontier large language models are trained and evaluated - Potential for ongoing work and contract extension as new projects launch
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