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 universe? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps, hallucinations, and reasoning failures that occur when AI tries to grapple with the fundamental laws of nature. This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful, intellectually rigorous work on their own schedule.

No prior AI experience required — your deep domain knowledge is what matters.

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 first-principles thinking across subfields like quantum mechanics, electrodynamics, statistical mechanics, and classical mechanics

Author Rigorous Ground-Truth Solutions — Develop precise, step-by-step "golden responses" where every physical constant, unit conversion, and logical transition is held to the highest standard of scientific accuracy

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





Provide Structured Feedback — Document failure modes clearly and deliver actionable feedback that helps AI systems develop genuinely physics-informed reasoning

Work Independently — Complete task-based assignments asynchronously, on a schedule that works for you Who You Are Holds a PhD (completed or near-final stage) in Applied Physics, Physics, Engineering Physics, or a closely related field

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

Exceptional analytical writing ability — you can explain complex derivations and physical phenomena with clarity, precision, and structure

Uncompromising attention to detail when it comes to units, scientific notation, mathematical logic, and physical consistency

Self-directed and reliable when working independently

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

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

Background in research involving simulation, modeling, or experimental physics

Familiarity with AI tools or language models as an end user Why Join Us Work on cutting-edge AI projects alongside leading AI research labs

Fully remote and versatile — work when and where it suits you

Apply your PhD-level expertise to problems that genuinely challenge you intellectually

Freelance autonomy with the structure of meaningful, high-impact work

Gain rare, first-hand exposure to how frontier AI models are trained and evaluated

Potential for ongoing work and contract extension as new projects launch

📌 Applied Physics (Canada)
🏢 Alignerr
📍 Canada