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 — ensuring it respects the fundamental laws that govern reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models on university and research-level physics, exposing the gaps in their reasoning so they can be fixed. This is a fully remote, flexible contract role built for researchers and specialists who want to stay sharp, work independently, and make a real impact on the future of AI — without leaving their area of expertise. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft challenging, open-ended physics problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electromagnetism, and thermodynamics - Author Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is exactly right - Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles - Refine Model Behaviour — Provide structured, expert feedback that helps AI systems reason correctly about boundary conditions, conservation laws, and the deep structure of physical reality Who You Are - Hold a PhD (completed or near-completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Have mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Write with exceptional clarity — able to explain complex physical phenomena and mathematical derivations in structured, precise English - Possess an uncompromising eye for detail: units, scientific notation, dimensional analysis, and the logical flow of a proof - Self-motivated and comfortable working independently on an asynchronous schedule - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality review, or scientific dataset evaluation - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research, academic publishing, or physics education Why Join Us - Work at the frontier of AI development alongside world-leading research labs - Fully remote and flexible — work when and where suits you, on your own schedule - Freelance autonomy with the substance of genuinely meaningful, high-level work - Keep your physics knowledge sharp while contributing to something that matters beyond the lab - Potential for ongoing work and contract extension as new projects launch
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