Applied Physics Specialist

About the Role

What if your years of physics training could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to rigorously challenge cutting-edge AI models — exposing the gaps in their reasoning, catching violations of fundamental physical laws, and helping build AI that truly understands how the universe works.

What You'll Do

• Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step reasoning, rigorous mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and beyond
• Author Gold-Standard Solutions — Write precise, step-by-step "golden responses" that serve as the benchmark for correct physical reasoning — every unit, constant, and logical step verified
• Audit AI Reasoning — Evaluate AI-generated proofs, simulations, and explanations for physical consistency, identifying where models "hallucinate" physics that violates conservation laws, boundary conditions, or established theory
• Refine Model Behavior — Provide structured, expert feedback that directly improves how AI models reason about the physical world — from classical mechanics to quantum systems

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: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to communicate complex physical reasoning and mathematical derivations in clear, structured written English
• Uncompromising attention to detail — units, notation, dimensional analysis, and logical rigor are second nature to you
• Self-directed and reliable working independently in an asynchronous environment
• No prior AI or data annotation experience required

Nice to Have

• Experience with scientific data evaluation, annotation, or quality review workflows
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level benchmarking or academic problem design

Why Join Us

• Work on high-impact AI projects in collaboration with leading AI research labs
• Fully remote and flexible — structure your hours around your existing commitments
• Freelance autonomy: choose your pace, work asynchronously, and contribute globally
• Apply your expertise to problems that matter — helping AI reason correctly about the physical world
• Exposure to how frontier large language models are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch