Applied Physics
About this role
About the Role What if your deep understanding of the physical world could directly shape how AI reasons about reality? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their understanding of quantum mechanics, electromagnetism, thermodynamics, and more. This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and the ability to think rigorously about how the universe works. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step logical reasoning and rigorous mathematical derivation across domains like quantum mechanics, electrodynamics, and statistical mechanics - Author Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every 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 AI Thinking — Provide structured, expert feedback to improve how AI models handle boundary conditions, conservation laws, and physics-informed constraints - Document Failure Modes — Systematically record how and where AI reasoning breaks down so models can be corrected and improved at a foundational level 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 analytical writing skills — you can explain complex derivations clearly and precisely in structured English - Uncompromising attention to detail when it comes to units, notation, and the logical flow of a proof - Self-motivated and able to work independently without hand-holding - No prior AI or machine learning experience required Nice to Have - Experience with data annotation, dataset quality review, or scientific evaluation systems - Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL - Background in research publishing or technical writing - Familiarity with AI tools or large language models as an end user Why Join Us - Work on high-impact AI projects alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Gain rare, first-hand exposure to how cutting-edge AI models are built and trained - Contribute to work that ensures AI understands and respects the fundamental laws of the universe - Potential for ongoing work and contract extension as new projects launch
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