Applied Physics

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 world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience required — just 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, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and rigorous mathematical derivation Author gold-standard solutions with precise, step-by-step workings, ensuring every physical constant, unit conversion, and boundary condition is flawless Evaluate AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles Provide structured, expert feedback that helps AI develop sound physics-informed reasoning across topics like conservation laws, field theory, and statistical mechanics Work independently and asynchronously — fully on your own schedule Who You Are Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field Deep command of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English Uncompromising attention to detail — you catch unit errors, sign mistakes, and logical gaps without breaking a sweat Self-motivated and reliable when working independently No prior AI or tech experience required Nice to Have Experience with data annotation, scientific dataset evaluation, or quality assurance workflows Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy / SciPy) Background in research-level benchmarking or technical writing Why Join Us Work on high-impact AI projects alongside the world's leading AI research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, intellectually stimulating work Gain direct exposure to how frontier LLMs are trained and evaluated at the cutting edge Potential for ongoing work and contract extension as new projects launch

You will design advanced physics problems and author gold-standard solutions to stress-test Large Language Models. Additionally, you will evaluate AI-generated simulations and proofs for physical consistency while providing expert feedback to improve model reasoning.

Candidates must hold a PhD in Applied Physics or a closely related field with deep command of core physics pillars. Exceptional communication skills and rigorous attention to detail are required to identify logical gaps and physical inaccuracies.

• Flexible schedule • Remote work

• Assurance qualitéSouhaitée
• PythonSouhaitée

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

• Quantum mechanics
• Electrodynamics
• Thermodynamics
• Classical mechanics
• Statistical mechanics
• Field theory
• Mathematical derivation
• Technical writing
• Data annotation
• Quality assurance
• MATLAB
• COMSOL
• Python
• NumPy
• SciPy
• Logical reasoning

• Science & Research
• Technology
• Data & Analytics
• Engineering
• 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, Edmonton, Alberta, Canada

Niveau d’expérience

Mid-Senior level