Applied Physics Specialist
About this role
About the Role What if your deep expertise in physics could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics — for millions of users worldwide? We're looking for PhD-level Applied Physicists to put cutting-edge AI models to the test, exposing the gaps in their physical reasoning and helping build systems that actually respect the laws of nature. This is a fully remote, flexible contract role built for researchers and specialists who want meaningful, intellectually stimulating work on their own schedule. No prior AI experience required — just a rigorous command of physics and an uncompromising eye for scientific accuracy. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design advanced physics problems — craft PhD qualifying exam-level challenges requiring multi-step logical reasoning, mathematical derivation, and deep physical intuition across domains like quantum mechanics, electrodynamics, and thermodynamics - Author rigorous ground-truth solutions — produce precise, step-by-step "golden responses" where every physical constant, unit, and logical step is exactly right - Audit AI-generated reasoning — evaluate AI outputs for physical consistency, identifying where models hallucinate physics or violate first principles like conservation of energy and momentum - Provide structured feedback — deliver detailed, actionable feedback that improves how AI models handle boundary conditions, symmetry arguments, and physics-informed constraints - Work independently and asynchronously — fully on your own schedule Who You Are - Holds a PhD (completed or near-final stage) in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery 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 written English - Uncompromising precision with units, scientific notation, dimensional analysis, and the logical flow of a proof - Self-motivated and consistent when working independently - 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 Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research-level benchmarking or academic problem authoring - Familiarity with AI language models as an end user Why Join Us - Work on high-impact AI projects in collaboration with leading AI research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, intellectually challenging work - Gain firsthand exposure to how cutting-edge large language models are trained and evaluated - Potential for ongoing work and contract extension as new projects launch
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