Applied Physics

Applied Physics

Posted Today by Alignerr

Negotiable
Undetermined
Remote
Birmingham, England, United Kingdom

Summary: The role seeks PhD-level Applied Physicists to evaluate and enhance the physical reasoning of AI models by designing complex physics problems and auditing AI-generated outputs for accuracy. Candidates will work independently on a flexible, fully remote contract basis, requiring deep expertise in various physics domains. No prior AI experience is necessary, but a strong analytical mindset and attention to detail are essential. The position offers the opportunity to contribute to high-impact AI projects and potentially extend contracts as new projects arise.

Key Responsibilities:

  • Design advanced, open-ended physics problems at the level of PhD qualifying exams.
  • Author definitive "golden" solutions with precise step-by-step workings.
  • Audit AI-generated simulations, proofs, and derivations for physical consistency.
  • Provide structured, expert feedback to improve AI reasoning.
  • Work independently and asynchronously on a flexible schedule.

Key Skills:

  • PhD in Applied Physics, Physics, Engineering Physics, or a closely related field.
  • Deep mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
  • Exceptional ability to explain complex physical phenomena in clear English.
  • Strong attention to detail in units, scientific notation, and logical proof structure.
  • Self-motivated and reliable when working independently.
  • Experience with data annotation or quality assurance is a plus.
  • Proficiency with computational tools such as MATLAB, COMSOL, or Python.
  • Background in research, academia, or applied engineering environments is advantageous.

Salary (Rate): £32.00 hourly

City: Birmingham

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Applied Physics (AI Training)

About The Role

What if your expertise in 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 large language models — exposing the gaps in their physical reasoning and helping ensure that AI respects the fundamental laws of the universe. This is a fully remote, flexible contract role. No prior AI experience needed — just deep domain mastery and a rigorous, analytical mind.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You'll Do

  • Design advanced, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and rigorous mathematical derivation
  • Author definitive "golden" solutions with precise step-by-step workings, correct physical constants, and flawless unit conversions
  • Audit AI-generated simulations, proofs, and derivations for physical consistency — identifying where models "hallucinate" physics that violates first principles
  • Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and fundamental physical constraints
  • Work independently and asynchronously — fully on your own schedule

Who You Are

  • Holds a PhD (completed or in final stages) in Applied Physics, Physics, Engineering Physics, or a closely related field
  • Deep mastery across the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
  • Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English
  • Uncompromising eye for detail — units, scientific notation, dimensional analysis, and logical proof structure are second nature
  • Self-motivated and reliable when working independently
  • No prior AI or machine learning experience required

Nice to Have

  • Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
  • Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
  • Background in research, academia, or applied engineering environments

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 demanding work
  • Gain direct exposure to how frontier AI models are built and trained
  • Contribute to ensuring AI systems reason correctly about the physical world
  • Potential for ongoing work and contract extension as new projects launch