Applied Physics Specialist (AI Training) About The Role What if your expertise in quantum mechanics, electromagnetism, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to put cutting-edge AI models through their paces — designing rigorous problems, exposing flawed reasoning, and ensuring that AI respects the fundamental laws of the universe. This is a fully remote, flexible contract role built for serious 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 Problems: Construct PhD qualifying-level physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and mastery of core physical principles Author Gold-Standard Solutions: Write precise, step-by-step "golden responses" with flawless unit conversions, physical constants, and airtight logical flow Audit AI Reasoning: Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles Refine AI Behaviour: Provide structured, expert feedback to improve how AI models handle constraints like boundary conditions, conservation laws, and energy-momentum relationships Work Across Core Domains: Tackle problems spanning quantum mechanics, classical mechanics, electrodynamics, statistical mechanics, and thermodynamics 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 ability to communicate complex physical phenomena and mathematical derivations in clear, structured English Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you Self-directed and reliable when working independently on a flexible schedule No prior AI or data annotation experience required

Nice to Have

Experience with data annotation, dataset quality review, or scientific evaluation systems Proficiency with tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar Background in research, teaching, or technical writing at the graduate level

Why Join Us

Work on cutting-edge AI projects in collaboration with leading AI research labs Fully remote and flexible — work when and where suits you, within your chosen weekly hours Freelance autonomy with the structure of meaningful, high-quality technical work Direct, tangible impact on how AI systems reason about the physical world Exposure to frontier large language models and how they are trained and evaluated Potential for ongoing work and contract extension as new projects launch