Applied Physics
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Christchurch, England, United Kingdom
Summary: The role of Applied Physicist focuses on leveraging deep expertise in physics to enhance AI's understanding of the physical world. Candidates will stress-test AI models, identify reasoning failures, and contribute to building systems that adhere to fundamental physical laws. This position is fully remote and offers flexible hours, requiring a PhD-level understanding of physics without prior AI experience. The role emphasizes independent work and the ability to design complex physics problems and provide expert feedback on AI-generated outputs.
Key Responsibilities:
- 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 on your own 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 in clear, structured prose.
- Uncompromising attention to detail regarding units, scientific notation, and logical proof structure.
- Self-motivated and consistent when working independently.
- No prior AI or data annotation experience required.
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows is a plus.
- Proficiency with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy) is advantageous.
- Background in computational physics, experimental physics, or engineering physics is beneficial.
- Experience writing technical documentation or academic publications is a plus.
Salary (Rate): £32.00 hourly
City: Christchurch
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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