Applied Physics Specialist

Applied Physics Specialist (AI Training) About The Role What if your years of physics training could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose the gaps in their physical reasoning, and help ensure they respect the fundamental laws that govern our universe. This is a fully remote, flexible contract role built for serious scientists. No prior AI experience needed — just deep domain expertise and the ability to think rigorously. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design PhD-level physics problems — craft complex, open-ended challenges requiring multi-step logical reasoning, mathematical derivation, and mastery of first principles across quantum mechanics, electromagnetism, thermodynamics, and more Author rigorous ground-truth solutions — produce precise, step-by-step "golden responses" with flawless handling of physical constants, units, and logical flow Audit AI-generated physics — evaluate model outputs for physical consistency, identifying where AI "hallucinates" results that violate conservation laws, boundary conditions, or established theory Refine AI reasoning — provide structured, expert feedback that helps AI models develop more accurate, physics-informed reasoning and better handle real-world constraints Document failure modes — systematically record where and how AI reasoning breaks down so these gaps can be systematically addressed Who You Are Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field Deep mastery of core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional analytical writer — able to explain complex derivations and physical phenomena in clear, structured English Uncompromising precision when it comes to units, scientific notation, dimensional analysis, and logical proof structure Self-motivated and comfortable working independently on challenging, open-ended problems No prior AI or machine learning experience required Nice to Have Experience with scientific data annotation, dataset quality evaluation, or research benchmarking Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL Background in research-level problem design, such as qualifying exam authorship or peer review Why Join Us Work at the frontier of AI development alongside world-leading research labs Fully remote and flexible — set your own hours and work from anywhere Freelance autonomy with access to genuinely interesting, intellectually demanding work Direct, meaningful impact on how AI models understand and reason about the physical world Exposure to cutting-edge large language models and the methods used to train them Potential for ongoing work and contract extension as new projects launch

Design complex PhD-level physics problems and author precise ground-truth solutions to train AI models. Audit AI-generated outputs for physical consistency and document failure modes where reasoning violates fundamental laws.

Requires a PhD in Applied Physics, Physics, Engineering Physics, or a related field with deep mastery of core physics pillars. Candidates must possess exceptional analytical writing skills and uncompromising precision in scientific notation and logical proofs.

• PythonSouhaitée

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

• Quantum Mechanics
• Thermodynamics
• Electromagnetism
• Classical Mechanics
• Statistical Mechanics
• Mathematical Derivation
• Analytical Writing
• Dimensional Analysis
• Scientific Notation
• Logical Proof Structure
• Python
• NumPy
• SciPy
• MATLAB
• COMSOL
• Data Annotation

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

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Postuler avant le

6 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