Applied Physics
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Glasgow, Scotland, United Kingdom
Summary: The role of Applied Physics — AI Data Trainer involves leveraging advanced physics knowledge to enhance AI's understanding of the physical world. Candidates will design complex physics problems, author precise solutions, audit AI reasoning, and refine model behavior. This position is fully remote, offering flexible hours and the opportunity to work on high-impact projects. Ideal candidates will have a PhD in a relevant field and strong analytical writing skills.
Key Responsibilities:
- Design Advanced Physics Problems requiring multi-step mathematical derivation and deep conceptual reasoning.
- Author Ground-Truth Solutions with precise physical constants and logical flow.
- Audit AI Reasoning for physical consistency and identify gaps in AI models.
- Refine Model Behaviour by providing structured feedback to improve AI reasoning.
Key Skills:
- PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field.
- Deep mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
- Exceptional analytical writing skills.
- Attention to detail regarding units, notation, and logical structure.
- Self-directed and comfortable working independently and asynchronously.
- Experience with data annotation, scientific dataset evaluation, or quality assurance (nice to have).
- Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools (nice to have).
- Background in research benchmarking or academic problem design (nice to have).
Salary (Rate): £64.00 hourly
City: Glasgow
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Applied Physics — AI Data Trainer
About The Role
What if your years of physics training could directly shape how AI understands the physical world — from quantum mechanics to thermodynamics to the fundamental laws that govern everything around us? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models, expose the gaps in their physical reasoning, and help build systems that truly respect the laws of the universe. This is high-impact, intellectually demanding work — and it's fully remote, with flexible hours you control.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Physics Problems — Craft rigorous, open-ended problems at the level of PhD qualifying exams, requiring multi-step mathematical derivation and deep conceptual reasoning across quantum mechanics, electrodynamics, classical mechanics, and thermodynamics
- Author Ground-Truth Solutions — Produce precise, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow — the benchmark that AI must meet
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models hallucinate physics or violate first principles
- Refine Model Behaviour — Deliver structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
Who You Are
- PhD completed or in final stages in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional analytical writing skills — you can explain a complex derivation clearly, precisely, and without ambiguity
- Uncompromising attention to detail when it comes to units, notation, and logical structure
- Self-directed and comfortable working independently and asynchronously
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance
- Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools
- Background in research benchmarking or academic problem design
Why Join Us
- Work on some of the most technically demanding AI projects in existence alongside world-leading research labs
- Fully remote and async — work when and where you do your best thinking
- Freelance autonomy: choose your hours, set your pace, and work on intellectually stimulating problems
- Direct, meaningful impact on how AI models reason about the physical world
- Potential for ongoing work and contract extension as new projects launch