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 AI 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, versátil contract role built for researchers and academics who want to apply their deep domain knowledge to one of the most consequential technology challenges of our time.

No prior AI experience needed — just mastery of physics and the ability to think rigorously.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning, mathematical derivation, and deep physical intuition

Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" with flawless treatment of physical constants, unit conversions, and first-principles reasoning

Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or fundamental principles

Refine Model Behaviour — Provide structured,



expert feedback that improves how AI models reason about physical systems — from classical mechanics to quantum phenomena 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 core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics

Can explain complex physical phenomena and mathematical derivations in clear, structured, rigorous English

Possess an uncompromising eye for detail — units, scientific notation, dimensional analysis, and logical proof structure matter deeply to you

Work independently with precision and consistency

No prior AI or machine learning experience required Nice to Have Experience with data annotation, scientific dataset evaluation, or quality assurance workflows

Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools

Background in research-level problem-setting, academic publishing, or technical writing

Familiarity with AI language models as an end user Why Join Us Work at the frontier of AI development alongside world-leading research labs

Fully remote and asynchronous — work on your own schedule, wherever you are

Apply your PhD-level expertise to high-impact problems that matter beyond academia

Freelance autonomy with meaningful, intellectually stimulating work

Potential for ongoing work and contract extension as new projects launch

📌 Applied Physics (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México