Applied Physics Specialist
About this role
About the Role What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws of the universe. This is a fully remote, flexible contract role built for serious scientists. No AI background required — just deep domain mastery and a rigorous, analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design PhD-level physics problems — craft advanced, open-ended problems requiring multi-step reasoning, mathematical derivation, and deep physical intuition across topics like quantum mechanics, electromagnetism, and thermodynamics - Author rigorous ground-truth solutions — produce step-by-step "golden responses" where every physical constant, unit conversion, and logical step is airtight - Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate first principles such as conservation of energy or momentum - Refine AI reasoning — provide structured, expert feedback to improve how models apply physics-informed constraints, boundary conditions, and governing equations - Document failure modes — systematically record where and how AI reasoning breaks down, contributing to research-grade benchmarks used by leading AI labs 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 ability to explain complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you - Self-directed and reliable when working independently on technical tasks - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance for technical content - 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 directly with leading AI research labs on high-impact, technically serious projects - Fully remote and asynchronous — work on your own schedule from anywhere in the world - Freelance autonomy with the intellectual depth of real research-grade work - Gain rare, hands-on insight into how frontier AI models are trained and evaluated - Potential for ongoing collaboration and contract extension as new projects launch
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