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 recent projects launch

📌 Applied Physics (Montreal)
🏢 Alignerr
📍 Montreal