Applied Physics
Posted 1 day ago by Alignerr
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The role of Applied Physicist involves leveraging deep expertise in physics to evaluate and enhance AI reasoning related to physical principles. Candidates will design complex physics problems, audit AI outputs for accuracy, and provide expert feedback to improve AI models. This is a fully remote, flexible contract position requiring a PhD in a relevant field. No prior AI experience is necessary, but a strong analytical mindset and mastery of physics are essential.
Key Responsibilities:
- Design Advanced Physics Problems — Craft complex, open-ended problems equivalent to PhD qualifying exam level, requiring multi-step reasoning and mathematical derivation across core physics domains
- Author Ground-Truth Solutions — Develop rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
- Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Thinking — Provide structured, expert feedback to improve AI performance on physics-informed reasoning, including boundary conditions, conservation laws, and symmetry constraints
- Work Independently — Complete task-based assignments asynchronously, fully on your own schedule
Key Skills:
- 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 ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising attention to detail — you catch unit errors, sign mistakes, and flawed assumptions instinctively
- Self-motivated and reliable when working independently
- No prior AI or machine learning experience required
- Experience with data annotation, dataset quality evaluation, or scientific benchmarking (nice to have)
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL (nice to have)
- Background in research publication, technical writing, or academic instruction (nice to have)
- Familiarity with AI tools or language model evaluation as an end user (nice to have)
Salary (Rate): £32.00/hr
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Applied Physics (AI Training)
About The Role
What if your deep expertise in physics could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge Large Language Models — probing their understanding of quantum mechanics, electromagnetism, thermodynamics, and more — and help ensure that AI reasoning never violates the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience required — 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 equivalent to PhD qualifying exam level, requiring multi-step reasoning and mathematical derivation across core physics domains
- Author Ground-Truth Solutions — Develop rigorous, step-by-step "golden responses" with flawless physical constants, unit conversions, and logical flow
- Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and derivations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Thinking — Provide structured, expert feedback to improve AI performance on physics-informed reasoning, including boundary conditions, conservation laws, and symmetry constraints
- Work Independently — Complete task-based assignments asynchronously, fully on your own schedule
Who You Are
- 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 ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising attention to detail — you catch unit errors, sign mistakes, and flawed assumptions instinctively
- Self-motivated and reliable when working independently
- No prior AI or machine learning experience required
Nice to Have
- Experience with data annotation, dataset quality evaluation, or scientific benchmarking
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research publication, technical writing, or academic instruction
- Familiarity with AI tools or language model evaluation as an end user
Why Join Us
- Work on high-impact AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually stimulating work
- Apply your PhD-level expertise in a novel, high-demand field at the frontier of AI development
- Potential for ongoing work and contract extension as new projects launch