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 never violates the laws of thermodynamics, mishandles a quantum boundary condition, or hallucinates a conservation law? We're looking for PhD-level Applied Physicists to challenge cutting-edge Large Language Models on their grasp of physical reality. Your job is to find where AI reasoning breaks down — and help fix it. You'll design problems that push models to their limits, author rigorous ground-truth solutions, and audit AI outputs for physical consistency. This is a fully remote, flexible contract role built for researchers and domain experts who want high-impact work on their own terms. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft complex, open-ended physics problems at PhD qualifying exam level, requiring multi-step logical reasoning and rigorous mathematical derivation - Author Ground-Truth Solutions — Develop precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow - Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models hallucinate or violate first principles - Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning around conservation laws, boundary conditions, and physics-informed constraints - Work Across Core Domains — Engage with topics spanning quantum mechanics, electrodynamics, thermodynamics, statistical mechanics, and classical mechanics Who You Are - 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 analytical writing skills — you can explain complex derivations clearly and precisely in English - Uncompromising attention to detail: units, scientific notation, and logical proof structure are second nature to you - Self-motivated and comfortable working independently on an asynchronous schedule - No prior AI experience required Nice to Have - Experience with data annotation, scientific dataset evaluation, or quality assurance workflows - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in academic research, technical writing, or physics education Why Join Us - Work at the frontier of AI development alongside leading research labs and teams - Fully remote and flexible — structure your hours around your life and existing commitments - Freelance autonomy with meaningful, intellectually stimulating work - Direct impact on how AI models understand and reason about the physical universe - Exposure to advanced LLM training pipelines and evaluation methodologies - Potential for ongoing work and contract extension as new projects launch
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