Applied Physics Specialist

Applied Physics Specialist (AI Training) 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 put cutting-edge Large Language Models through their paces - designing rigorous problems, auditing AI reasoning, and documenting exactly where these models break the fundamental laws of physics. This is a fully remote, flexible contract role built for researchers and physicists who want to do meaningful, high-impact work on their own schedule. No prior AI experience required - your deep domain knowledge is what matters. 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, rigorous derivation, and deep conceptual understanding Author Ground-Truth Solutions - Produce precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is airtight Audit AI Reasoning - Evaluate AI-generated proofs and simulations for physical consistency, identifying where models hallucinate physics that violates first principles Refine Model Reasoning - Provide structured, expert feedback that helps AI systems better understand physics-informed constraints - from boundary conditions to conservation laws Work Across Core Domains - Apply your knowledge across Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics, and related fields Who You Are PhD completed or near-completion in Applied Physics, Physics, Engineering Physics, or a closely related field Deep mastery of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional ability to communicate complex physical phenomena and mathematical derivations clearly and precisely in English Uncompromising attention to detail - units, scientific notation, and logical proof structure matter to you instinctively Self-motivated and reliable when working independently on task-based assignments No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality evaluation, or scientific dataset review Proficiency with tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar Background in research environments, technical writing, or academic publishing Why Join Us Work on frontier AI projects alongside the world's leading AI research teams and labs Fully remote and flexible - structure your hours around your life, not the other way around Freelance autonomy: no office, no rigid schedule, and no bureaucracy Make a direct, tangible impact on how AI models reason about the physical universe Collaborate with a global network of expert contributors across scientific disciplines Potential for ongoing work and contract extension as new projects launch Alignerr