Applied Physics
About this role
About the Role What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — probing their grasp of quantum mechanics, electrodynamics, thermodynamics, and more — and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience needed — just rigorous scientific training and an uncompromising eye for physical truth. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Physics Problems — Craft PhD-level, open-ended problems spanning classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics that demand multi-step reasoning and rigorous mathematical derivation - Author Ground-Truth Solutions — Write precise, step-by-step "golden responses" with perfect units, constants, and logical flow to serve as the benchmark for AI evaluation - Audit AI Reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles - Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop physics-informed reasoning — respecting boundary conditions, conservation laws, and real-world constraints - Work Independently — Complete task-based assignments asynchronously on your own schedule Who You Are - Holds a 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 ability to explain complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, and the logical structure of a proof all matter to you - Self-motivated and reliable when working independently - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or academic benchmarking - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research, academia, or technical writing - Familiarity with AI or LLM evaluation workflows Why Join Us - Work on cutting-edge AI projects alongside world-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 ensuring AI respects the laws of physics — work that genuinely matters - Exposure to advanced large language models and how they are trained and evaluated - Potential for ongoing work and contract extension as new projects launch
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