Applied Physics
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Edinburgh, Scotland, United Kingdom
Summary: The role of Applied Physicist involves leveraging expertise in quantum mechanics, electrodynamics, and thermodynamics to evaluate and refine AI models, ensuring they adhere to the laws of physics. This fully remote position is designed for PhD-level researchers who can create complex physics problems and provide rigorous solutions. The role offers flexibility in hours and is focused on high-impact work that contributes to the integrity of AI systems. No prior AI experience is necessary, but a strong foundation in physical principles is essential.
Key Responsibilities:
- Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and mastery of core physical principles
- Author Rigorous Solutions — Produce definitive, step-by-step "golden responses" with perfect physical constants, unit conversions, and airtight logical flow
- Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured, expert feedback that teaches AI to respect constraints like conservation laws, boundary conditions, and dimensional analysis
- Cover Foundational Topics — Work across classical mechanics, electrodynamics, statistical mechanics, quantum mechanics, and related research-level domains
Key Skills:
- Holds a PhD (completed or near completion) 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 ability to articulate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
- Self-motivated and reliable when working independently on task-based assignments
- No prior AI or data annotation experience required
- Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs (nice to have)
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL (nice to have)
- Background in research-level problem design, academic instruction, or scientific writing (nice to have)
- Familiarity with AI language models or large-scale model evaluation as an end user (nice to have)
Salary (Rate): £32.00 hourly
City: Edinburgh
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Applied Physics (AI Training)
About The Role
What if your mastery of 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 AI models — exposing where they break the laws of physics and helping ensure they reason with the rigour of a trained scientist. This is a fully remote, flexible contract role built for researchers and academics who want high-impact work on their own schedule. No prior AI experience required — just deep domain expertise and an uncompromising eye for physical truth.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and mastery of core physical principles
- Author Rigorous Solutions — Produce definitive, step-by-step "golden responses" with perfect physical constants, unit conversions, and airtight logical flow
- Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates first principles
- Refine Model Behaviour — Provide structured, expert feedback that teaches AI to respect constraints like conservation laws, boundary conditions, and dimensional analysis
- Cover Foundational Topics — Work across classical mechanics, electrodynamics, statistical mechanics, quantum mechanics, and related research-level domains
Who You Are
- Holds a PhD (completed or near completion) 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 ability to articulate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
- Self-motivated and reliable when working independently on task-based assignments
- 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-level problem design, academic instruction, or scientific writing
- Familiarity with AI language models or large-scale model evaluation as an end user
Why Join Us
- Work on high-impact AI projects in collaboration with world-leading research labs
- Fully remote and flexible — work when and where it suits you, on your own schedule
- Freelance autonomy with the intellectual depth of meaningful, research-level work
- Contribute directly to ensuring AI systems reason about the physical world with scientific integrity
- Potential for ongoing work and contract extension as new projects launch