Applied Physics Specialist

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.

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

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