About this role · Stem
About the Role What if your deep expertise in physics could directly shape how AI understands the physical world — ensuring it never violates the laws that govern reality itself? We're looking for PhD-level Applied Physicists to put cutting-edge Large Language Models through their paces. Your job is to probe, challenge, and stress-test AI reasoning across the hardest problems in physics — from quantum mechanics to thermodynamics — and document exactly where and how these models go wrong. This is a fully remote, flexible contract role. No prior AI experience required — just world-class physics knowledge and a rigorous, analytical mind. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft PhD qualifying exam-level physics problems that demand multi-step logical reasoning, mathematical derivation, and deep domain knowledge across quantum mechanics, electrodynamics, thermodynamics, and classical mechanics - Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" where every physical constant, unit conversion, and logical step is airtight and precise - Audit AI Reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models hallucinate physics that violates first principles - Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning around constraints like conservation laws, boundary conditions, and symmetry principles - Document Failure Modes — Build a systematic record of how and where AI reasoning breaks down in real physics scenarios, helping research teams target improvements Who You Are - Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field - Mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional analytical writing skills — you can explain a complex derivation or physical phenomenon with clarity and precision - Uncompromising attention to detail when it comes to units, notation, and the logical structure of a proof - Self-motivated and reliable when working independently on task-based assignments - No prior AI or machine learning experience required Nice to Have - Prior experience with data annotation, scientific dataset evaluation, or quality assurance for technical content - Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools - Experience writing or reviewing research-level benchmarks or exam problems - Background in a specialised physics subfield such as condensed matter, optics, plasma physics, or astrophysics Why Join Us - Work on high-impact AI projects alongside the world's leading AI research labs - Fully remote and flexible — work when and where it suits you, on your own schedule - Freelance autonomy with the structure of meaningful, intellectually engaging work - Apply your expertise to problems that actually matter — helping ensure AI respects the fundamental laws of the universe - Exposure to cutting-edge LLMs and direct insight into how frontier AI models are trained and evaluated - Potential for ongoing work and contract extension as new projects launch