Applied Physics
About this role
About the Role What if your deep expertise in physics could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — probing their understanding of quantum mechanics, electromagnetism, thermodynamics, and more — and help ensure that AI reasoning never violates the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience required — just mastery of physics and a rigorous 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 equivalent to PhD qualifying exam level, requiring multi-step reasoning and mathematical derivation across core physics domains - Author Ground-Truth Solutions — Develop rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow - Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles - Refine Model Thinking — Provide structured, expert feedback to improve AI performance on physics-informed reasoning, including boundary conditions, conservation laws, and symmetry constraints - 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 of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — you catch unit errors, sign mistakes, and flawed assumptions instinctively - Self-motivated and reliable when working independently - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, dataset quality evaluation, or scientific benchmarking - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research publication, technical writing, or academic instruction - 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 stimulating work - Apply your PhD-level expertise in a novel, high-demand field at the frontier of AI development - Potential for ongoing work and contract extension as new projects launch
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