Applied Physics

Applied Physics (AI Training) About The Role What if your years of physics expertise could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve cutting-edge Large Language Models — exposing the gaps in their reasoning and helping ensure they never violate the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and domain experts. No prior AI experience needed — just a deep mastery of physics and a sharp, rigorous mind. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Advanced Problems — Craft PhD-level, open-ended physics problems spanning quantum mechanics, electrodynamics, thermodynamics, and classical mechanics that demand genuine multi-step reasoning and mathematical derivation Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" that are flawless in physical constants, units, and logical structure Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles Refine Model Behavior — Provide structured, expert feedback that helps AI develop physics-informed reasoning — from conservation laws to boundary conditions Work independently and asynchronously — fully on your own schedule 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 the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Write with exceptional clarity — able to explain complex phenomena and mathematical derivations in structured, precise English Uncompromisingly detail-oriented when it comes to units, scientific notation, and the logical flow of a proof Self-motivated and consistent when working independently No prior AI experience required Nice to Have Experience with data annotation, scientific dataset evaluation, or academic peer review Proficiency with computational tools such as MATLAB, COMSOL, or Python (NumPy/SciPy) Background in research-level benchmarking or technical writing for scientific audiences Why Join Us Work on cutting-edge AI projects alongside leading research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact work Contribute directly to how the world's most advanced AI models understand physical reality Potential for ongoing work and contract extension as new projects launch

Design advanced PhD-level physics problems and author rigorous ground-truth solutions to train AI models. Audit AI-generated proofs for physical consistency and provide expert feedback to refine model reasoning.

Requires a PhD in Applied Physics, Physics, Engineering Physics, or a related field with mastery of core physics pillars. Must possess exceptional clarity in technical writing and a high level of detail regarding scientific notation and logical proofs.

• Freelance autonomy • Flexible schedule

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Quantum Mechanics
• Electrodynamics
• Thermodynamics
• Classical Mechanics
• Mathematical Derivation
• Technical Writing
• Data Annotation
• Scientific Benchmarking
• Matlab
• Comsol
• Python
• NumPy
• SciPy
• AI Training
• Physics-Informed Reasoning
• Analytical Reasoning

• Science & Research
• Technology
• Engineering
• Data & Analytics
• Software

Minimum education

Master’s degree

Minimum experience

5+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Mid-Senior level