Applied Physics
About this role
About the Role What if your years of physics training could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to the fundamental laws that govern everything around us? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose the gaps in their physical reasoning, and help build systems that truly respect the laws of the universe. This is high-impact, intellectually demanding work — and it's fully remote, with flexible hours you control. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Physics Problems — Craft rigorous, open-ended problems at the level of PhD qualifying exams, requiring multi-step mathematical derivation and deep conceptual reasoning across quantum mechanics, electrodynamics, classical mechanics, and thermodynamics - Author Ground-Truth Solutions — Produce precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow — the benchmark that AI must meet - Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models hallucinate physics or violate first principles - Refine Model Behaviour — Deliver structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints Who You Are - PhD completed or in final stages 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 analytical writing skills — you can explain a complex derivation clearly, precisely, and without ambiguity - Uncompromising attention to detail when it comes to units, notation, and logical structure - Self-directed and comfortable working independently and asynchronously - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance - Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools - Background in research benchmarking or academic problem design Why Join Us - Work on some of the most technically demanding AI projects in existence alongside world-leading research labs - Fully remote and async — work when and where you do your best thinking - Freelance autonomy: choose your hours, set your pace, and work on intellectually stimulating problems - Direct, meaningful impact on how AI models reason about the physical world - Potential for ongoing work and contract extension as new projects launch
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