Applied Physics

Applied Physics (AI Training)About The Role What if your mastery of quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing where they break the laws of physics and helping ensure they reason with the rigour of a trained scientist. This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — just deep domain expertise and an uncompromising eye for physical truth.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and mastery of core physical principles
• Author Rigorous Solutions — Produce definitive, step-by-step "golden responses" with perfect physical constants, unit conversions, and airtight logical flow
• Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates first principles
• Refine Model Behaviour — Provide structured, expert feedback that teaches AI to respect constraints like conservation laws, boundary conditions, and dimensional analysis
• Cover Foundational Topics — Work across classical mechanics, electrodynamics, statistical mechanics, quantum mechanics, and related research-level domains

Who You Are

• Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to articulate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
• Self-motivated and reliable when working independently on task-based assignments
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research-level problem design, academic instruction, or scientific writing
• Familiarity with AI language models or large-scale model evaluation as an end user

Why Join Us

• Work on high-impact AI projects in collaboration with world-leading research labs
• Fully remote and flexible — work when and where it suits you, on your own schedule
• Freelance autonomy with the intellectual depth of meaningful, research-level work
• Contribute directly to ensuring AI systems reason about the physical world with scientific integrity
• Potential for ongoing work and contract extension as new projects launch