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 build AI that truly respects the fundamental laws of the universe. This is a fully remote, flexible contract role designed 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 required.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Advanced Physics Problems — Craft PhD-qualifying-exam-level problems requiring multi-step logical reasoning, mathematical derivation, and deep physical intuition across domains like quantum mechanics, electromagnetism, and thermodynamics

Author Rigorous Solutions — Produce precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical structure that serve as ground-truth benchmarks

Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency; identify where models "hallucinate" physics that violates first principles

Refine Model Behaviour — Provide structured,



expert feedback that helps AI systems develop physics-informed reasoning — correctly applying boundary conditions, conservation laws, and symmetry constraints Who You Are Hold a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field

Possess mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics

Can explain complex physical phenomena and rigorous mathematical derivations in transparent, well-structured English

Obsessively accurate — you notice a wrong unit, a sign error, or a broken logical step immediately

Self-directed and comfortable working independently in an asynchronous environment

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

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

Background in research-level benchmarking or academic problem-set design Why Join Us Work on frontier AI projects in partnership with the world's leading AI research labs

Fully remote and flexible — structure your hours around your existing commitments

Apply your expertise to problems that genuinely matter — shaping how AI reasons about physical reality

Freelance autonomy: no bureaucracy, no commute, just meaningful, intellectually engaging work

Potential for ongoing contract extension as new projects launch

📌 Applied Physics (Vancouver)
🏢 Alignerr
📍 Vancouver