Applied Physics
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Christchurch, England, United Kingdom
Summary: The role of Applied Physicist involves leveraging deep expertise in physics to enhance AI's understanding of the physical world. Candidates will design complex physics problems, audit AI outputs for accuracy, and provide expert feedback to improve AI reasoning. This is a fully remote, flexible contract position requiring a PhD in a relevant field, with no prior AI experience necessary. The role offers the opportunity to work on impactful AI projects and contribute to the development of systems that adhere to fundamental physical laws.
Key Responsibilities:
- Design advanced, open-ended physics problems at PhD qualifying exam level.
- Author detailed "golden response" solutions with correct physical constants and precise unit handling.
- Audit AI-generated simulations, proofs, and explanations for physical consistency.
- Provide structured, expert feedback to improve AI reasoning around conservation laws and fundamental physical constraints.
- Work independently and asynchronously on a flexible schedule.
Key Skills:
- PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field.
- Deep mastery of core physics disciplines: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
- Exceptional ability to explain complex physical phenomena and mathematical derivations clearly.
- Uncompromising attention to detail in units, scientific notation, and logical proof structure.
- Self-motivated and consistent when working independently.
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows (nice to have).
- Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy) (nice to have).
- Background in computational physics, experimental physics, or engineering physics (nice to have).
- Experience writing technical documentation or academic publications (nice to have).
Salary (Rate): £64.00 hourly
City: Christchurch
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 influence 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 their reasoning failures, and help build systems that genuinely respect the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience needed — just mastery of physics and a sharp, rigorous mind.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design advanced, open-ended physics problems at PhD qualifying exam level — requiring multi-step logical reasoning and rigorous mathematical derivation
- Author detailed "golden response" solutions with flawless step-by-step workings, correct physical constants, and precise unit handling
- Audit AI-generated simulations, proofs, and explanations for physical consistency — identifying where models hallucinate physics that violates first principles
- Provide structured, expert feedback to improve AI reasoning around conservation laws, boundary conditions, and fundamental physical constraints
- Work independently and asynchronously — fully on your own schedule
Who You Are
- PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Deep mastery of core physics disciplines: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured prose
- Uncompromising attention to detail — units, scientific notation, and logical proof structure matter to you
- Self-motivated and consistent when working independently
- No prior AI or data annotation experience required
Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Background in computational physics, experimental physics, or engineering physics
- Experience writing technical documentation or academic publications
Why Join Us
- Work on high-impact AI projects alongside leading AI research labs and teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually rigorous work
- Gain firsthand exposure to how cutting-edge large language models are trained and evaluated
- Contribute to ensuring AI systems reason correctly about the physical world
- Potential for ongoing work and contract extension as new projects launch