Applied Physics Specialist
About this role
About the Role What if your deep expertise in physics could directly shape how AI understands the physical world — ensuring it respects the fundamental laws that govern reality? We're looking for PhD-level Applied Physicists to put cutting-edge Large Language Models through their paces: designing rigorous problems, exposing flawed reasoning, and helping AI systems learn to think like a physicist. This is a fully remote, flexible contract role built for researchers and domain experts who want high-impact work on their own schedule. No prior AI experience required — just a mastery of physics and a sharp eye for where logic breaks down. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft PhD-qualifying-level physics problems that demand multi-step reasoning, rigorous mathematical derivation, and genuine conceptual depth across topics like quantum mechanics, electromagnetism, and thermodynamics - Author Ground-Truth Solutions — Write precise, step-by-step "golden responses" where every constant, unit, and logical step is unimpeachably correct - Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles like conservation of energy or momentum - Refine Model Understanding — Provide structured, expert feedback that improves how AI handles physics-informed reasoning, boundary conditions, and real-world physical constraints - Document Failure Modes — Systematically record how and where AI reasoning breaks down so research teams can address the root causes Who You Are - Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related discipline - Deep command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics - Exceptional ability to communicate complex physical phenomena and mathematical proofs in clear, structured written English - Uncompromising precision when it comes to units, scientific notation, dimensional analysis, and the logical flow of a derivation - Self-motivated and reliable when working independently on technical tasks - No prior AI or data annotation experience required Nice to Have - Prior experience with data annotation, scientific dataset evaluation, or quality assurance for research content - Proficiency with tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research benchmarking or academic assessment design - Experience writing or reviewing technical content for educational or research purposes Why Join Us - Work on genuinely cutting-edge AI projects in collaboration with leading AI research labs - Fully remote and flexible — structure your hours around your existing commitments - Freelance autonomy with meaningful, intellectually stimulating work - Direct, tangible impact on how AI reasons about the physical world - Exposure to frontier LLM development and how state-of-the-art models are trained and evaluated - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.