Applied Physics Specialist

Applied Physics Specialist (AI Training) About The Role What if your deep expertise in physics could directly shape how AI understands the fundamental laws of the universe? We're looking for PhD-level Applied Physicists to challenge cutting-edge AI models on their grasp of physical reality — exposing gaps in reasoning, catching violations of first principles, and helping ensure that the next generation of AI systems actually respects the laws of nature. This is a fully remote, flexible contract role built for researchers and specialists who want to apply their expertise at the frontier of AI development. 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 complex, open-ended problems at PhD qualifying exam level that require multi-step logical reasoning, mathematical derivation, and deep domain knowledge across areas like quantum mechanics, electromagnetism, and thermodynamics Author Gold-Standard Solutions — Write rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow — the benchmark against which AI outputs are measured Audit AI Reasoning — Evaluate AI-generated proofs, derivations, and simulations for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or first principles Refine Model Behaviour — Provide structured, expert feedback that improves AI reasoning in physics-informed contexts — helping models understand constraints that no competent physicist would ever overlook Document Failure Modes — Systematically record how and where AI reasoning breaks down, contributing to benchmarks that push the boundaries of what AI can reliably understand about the physical world Who You Are PhD-level expertise in Applied Physics, Physics, Engineering Physics, or a closely related field (completed or in final stages) Domain mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics Exceptional analytical writing — you can explain complex physical phenomena and mathematical derivations in clear, structured prose that leaves no ambiguity Uncompromising precision — you catch errors in units, scientific notation, and logical flow instinctively Self-directed — comfortable working independently, managing your own schedule, and delivering high-quality work without hand-holding No prior AI or data annotation experience required Nice to Have Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL Background in research publishing, academic instruction, or technical writing Familiarity with AI language models as a user or researcher Why Join Us Work on high-impact AI projects in collaboration with leading AI research labs Fully remote and asynchronous — work when and where it suits you Freelance autonomy with the structure of meaningful, intellectually rigorous work Apply your physics expertise to one of the most consequential challenges in modern AI Exposure to how frontier large language models are trained and evaluated Potential for ongoing work and contract extension as new projects launch

Design complex PhD-level physics problems and author gold-standard solutions to benchmark AI performance. Audit AI-generated proofs for physical consistency and document failure modes to improve model reasoning.

Requires a PhD or near-completion in Applied Physics, Physics, or Engineering Physics with mastery of core physics pillars. Must possess exceptional analytical writing skills and uncompromising precision in mathematical and logical flow.

• Fully remote and asynchronous work • Freelance autonomy • Exposure to frontier large language models • Potential for contract extension

• Assurance qualitéSouhaitée
• PythonSouhaitée

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

• Quantum Mechanics
• Electromagnetism
• Thermodynamics
• Classical Mechanics
• Statistical Mechanics
• Analytical Writing
• Mathematical Derivation
• Data Annotation
• Python
• NumPy
• SciPy
• MATLAB
• COMSOL
• Technical Writing
• Scientific Dataset Evaluation
• Quality Assurance

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

Formation minimale

Maîtrise

Expérience minimale

0+ ans

Postuler avant le

27 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Vancouver, British Columbia, Canada

Niveau d’expérience

Entry level