Applied Physics

Montreal, Quebec, Canada
Remote
Posted Oct 8, 2026
1 position

US$40–US$80 / hour

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Employment type: Contract
Experience level: Senior · 5+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 40 hours per week
Location requirements: Country, Montreal, Quebec, Canada
Seniority: Mid-Senior level

Job summary

Develop advanced physics problems and rigorous ground-truth solutions, then evaluate AI-generated reasoning for errors in physical consistency and first principles. Provide structured feedback and document model failure modes to improve scientific reasoning in AI systems.

Job details

Applied Physics Expert (AI Training) About The Role What if your deep expertise in physics could directly influence how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve the scientific reasoning of cutting-edge Large Language Models — exposing where they break the laws of thermodynamics, mishandle quantum mechanics, or hallucinate results that violate first principles. This is a fully remote, flexible contract role built for working researchers and academics. No prior AI experience needed — just mastery of physics and a rigorous analytical mind. 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 challenges spanning quantum mechanics, electrodynamics, thermodynamics, and classical mechanics that require multi-step reasoning and mathematical derivation Author ground-truth solutions — produce rigorous, step-by-step "golden responses" with precise units, constants, and logical flow that set the standard for correct physical reasoning Audit AI-generated reasoning — evaluate AI outputs for physical consistency, identifying where models hallucinate results or violate fundamental principles like conservation of energy and momentum Refine model reasoning — deliver structured, expert feedback that helps AI systems better understand boundary conditions, physical constraints, and the deep logic of first-principles reasoning Document failure modes — systematically record where and how AI reasoning breaks down under rigorous scientific scrutiny Who You Are PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field Deep mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional ability to write clear, structured explanations of complex physical phenomena and mathematical derivations Uncompromising attention to detail — units, scientific notation, dimensional analysis, and logical proof structure are second nature to you Self-motivated and able to work independently on complex, open-ended problems No prior AI or machine learning experience required Nice to Have Experience with scientific data annotation, evaluation, or quality assurance Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools Background in research publishing, academic benchmarking, or scientific peer review Familiarity with AI tools or language model evaluation as an end user Why Join Us Work on genuinely high-impact AI projects in collaboration with leading research labs Fully remote and flexible — structure your hours around your existing research or academic commitments Freelance autonomy with meaningful, intellectually challenging work that uses your full expertise Contribute to ensuring that AI systems are grounded in real scientific truth Potential for ongoing work and contract extension as new projects launch

What you’ll do

Requirements

A completed or nearly completed PhD in Applied Physics, Physics, Engineering Physics, or a closely related field is required, along with deep knowledge of core physics disciplines. Candidates should be able to produce clear, rigorous explanations and work independently with exceptional attention to detail; prior AI experience is not required.