Applied Physics

Applied Physics (AI Training)

About The Role

What if your expertise in 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 Large Language Models — exposing the gaps in their physical reasoning and helping ensure they never violate the fundamental laws of the universe.

This is a fully remote, flexible contract role built for researchers and academics who want to do meaningful, high-impact work on their own schedule. No prior AI experience required — just deep domain mastery and an uncompromising eye for scientific rigor.

• 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 — Produce precise, step-by-step "golden responses" where every physical 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 Model Behaviour — Provide structured, expert feedback to improve AI reasoning in areas like conservation laws, boundary conditions, and physics-informed constraints
• Work Across Core Domains — Engage with topics spanning Classical Mechanics, Electrodynamics, Statistical Mechanics, Quantum Mechanics, and beyond

Who You Are

• Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of the core pillars of physics — Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising precision with units, scientific notation, dimensional analysis, and the logical flow 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

• Experience with data annotation, scientific dataset evaluation, or academic peer review
• Proficiency with tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research publication, academic instruction, or technical writing
• Familiarity with AI tools or language model evaluation as an end user

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually engaging work
• Apply your expertise to problems that directly shape how AI understands the physical universe
• Potential for ongoing work and contract extension as new projects launch