About this role · Stem
About the Role What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws that govern our universe. This is a fully remote, flexible contract role built for working researchers and academics. No prior AI experience needed — just deep domain expertise and a rigorous analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning and mathematical derivation across topics like quantum mechanics, electromagnetism, and thermodynamics - Author Rigorous Model Solutions — Develop precise, step-by-step "golden responses" that serve as ground-truth benchmarks, with flawless handling of physical constants, units, and derivations - Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency, identifying where models "hallucinate" results that violate first principles - Refine Physics-Informed AI — Provide structured, expert feedback to improve how models reason about boundary conditions, conservation laws, symmetry, and physical constraints Who You Are - PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field - Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English - Uncompromising attention to detail — units, scientific notation, and logical proof flow matter to you - Self-directed and comfortable working independently in a fully asynchronous environment - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, dataset quality evaluation, or scientific benchmarking - Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar - Background in academic research, teaching, or scientific writing Why Join Us - Work on frontier AI projects in collaboration with leading AI research labs - Fully remote and flexible — structure your hours around your existing commitments - Freelance autonomy with the substance of genuinely high-impact scientific work - Gain direct exposure to how large language models are trained and evaluated on advanced scientific reasoning - Potential for ongoing work and contract extension as new projects launch