Applied Physics at Alignerr

Applied Physics — AI Data Trainer

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 respect the fundamental laws of the universe.

This is a fully remote, flexible contract role. No prior AI experience required — just deep mastery of physics and a sharp, rigorous mind.

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

What You'll Do

• Design advanced, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and rigorous mathematical derivation
• Author gold-standard solutions with precise, step-by-step workings, ensuring every physical constant, unit conversion, and boundary condition is flawless
• Evaluate AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles
• Provide structured, expert feedback that helps AI develop sound physics-informed reasoning across topics like conservation laws, field theory, and statistical mechanics
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep command 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 attention to detail — you catch unit errors, sign mistakes, and logical gaps without breaking a sweat
• Self-motivated and reliable when working independently
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
• Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy / SciPy)
• Background in research-level benchmarking or technical writing

Why Join Us

• Work on high-impact AI projects alongside the world's leading AI research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually stimulating work
• Gain direct exposure to how frontier LLMs are trained and evaluated at the cutting edge
• Potential for ongoing work and contract extension as new projects launch