Applied Physics

Boston

**Applied Physics --- AI Data Trainer** **About The Role** What if your expertise in quantum mechanics, thermodynamics, and electrodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models --- exposing the gaps in their physical reasoning and helping build AI that respects the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and academics who want to do meaningful, high-impact work on their own schedule. No prior AI experience required --- just a deep command of physics and an uncompromising eye for rigour. * Organization: Alignerr * Type: Hourly Contract * Location: Remote * Commitment: 10--40 hours/week **What You'll Do** * Design Advanced Problems --- Craft complex, open-ended physics problems at the level of PhD qualifying exams, requiring multi-step logical reasoning and precise mathematical derivation * Author Ground-Truth Solutions --- Produce rigorous, step-by-step "golden responses" where every physical constant, unit, and logical step is exactly right * Audit AI Reasoning --- Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models hallucinate physics that violates first principles * Refine Model Behaviour --- Provide structured, expert feedback that improves the model's ability to reason within constraints like conservation laws, boundary conditions, and symmetry principles * Cover Core Domains --- Work across Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics, and related research-level topics **Who You Are** * Holds a PhD (completed or near completion) 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 analytical writer --- able to communicate complex derivations and physical phenomena in clear, structured English * Obsessively precise with units, scientific notation, dimensional analysis, and logical proof structure * Self-directed and reliable when working independently on technical tasks * No prior AI or data annotation experience required **Nice to Have** * Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs * Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools * Background in research-level simulation, numerical methods, or experimental physics * Familiarity with AI tools or language model evaluation as an end user **Why Join Us** * Work on cutting-edge AI projects alongside world-leading research labs * Fully remote and flexible --- structure your hours around your existing commitments * Freelance autonomy with the satisfaction of meaningful, intellectually demanding work * Direct impact on how AI models reason about the physical world --- at the frontier of AI development * Potential for ongoing work and contract extension as new projects launch