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

• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• 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

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Mid-Senior level