Applied Physics
About this role
About the Role What if your years of physics expertise could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve cutting-edge Large Language Models — exposing the gaps in their reasoning and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and domain experts. No prior AI experience needed — just a deep mastery of physics and a sharp, rigorous mind. - 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 spanning quantum mechanics, electrodynamics, thermodynamics, and classical mechanics that demand genuine multi-step reasoning and mathematical derivation - Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" that are flawless in physical constants, units, and logical structure - Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles - Refine Model Behavior — Provide structured, expert feedback that helps AI develop physics-informed reasoning — from conservation laws to boundary conditions - Work independently and asynchronously — fully on your own schedule Who You Are - Hold a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Have deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Write with exceptional clarity — able to explain complex phenomena and mathematical derivations in structured, precise English - Uncompromisingly detail-oriented when it comes to units, scientific notation, and the logical flow of a proof - Self-motivated and consistent when working independently - No prior AI experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or academic peer review - Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy) - Background in research-level benchmarking or technical writing for scientific audiences Why Join Us - Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Contribute directly to how the world's most advanced AI models understand physical reality - Potential for ongoing work and contract extension as new projects launch
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