Applied Physics

Applied Physics (AI Training)

About The Role

What if your years of physics expertise could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve cutting-edge Large Language Models — exposing the gaps in their 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 domain experts. No prior AI experience needed — just a 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 Problems — Craft PhD-level, open-ended physics problems spanning quantum mechanics, electrodynamics, thermodynamics, and classical mechanics that demand genuine multi-step reasoning and mathematical derivation
• Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" that are flawless in physical constants, units, and logical structure
• Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
• Refine Model Behavior — Provide structured, expert feedback that helps AI develop physics-informed reasoning — from conservation laws to boundary conditions
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Hold a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Have deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Write with exceptional clarity — able to explain complex phenomena and mathematical derivations in structured, precise English
• Uncompromisingly detail-oriented when it comes to units, scientific notation, and the logical flow of a proof
• Self-motivated and consistent when working independently
• No prior AI experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or academic peer review
• Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
• Background in research-level benchmarking or technical writing for scientific audiences

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, high-impact work
• Contribute directly to how the world's most advanced AI models understand physical reality
• Potential for ongoing work and contract extension as new projects launch