We are looking for AI Data Specialists to support the improvement of AI-generated content in Danish , Finnish, Icelandic, Norwegian OR Swedish. Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want.
Applied Physics Specialist
Job description
Applied Physics Specialist (AI Training)
About the Role
What if your deep expertise in physics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test the reasoning of cutting-edge Large Language Models — probing their grasp of quantum mechanics, electrodynamics, thermodynamics, and beyond.
This is a fully remote, flexible contract role. No AI background needed — 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, open-ended physics problems at the level of PhD qualifying exams — requiring multi-step logical reasoning and mathematical derivation
- Author rigorous "golden" solutions with precise step-by-step workings, ensuring every physical constant, unit, and logical transition is exactly right
- Audit AI-generated simulations, proofs, and explanations for physical consistency — identifying where models hallucinate violations of first principles
- Provide structured, expert feedback to improve AI reasoning around boundary conditions, conservation laws, and physics-informed constraints
- Work independently and 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 across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to communicate complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
- Naturally detail-oriented and systematic in evaluating technical content
- No prior AI or data annotation experience required
Nice to Have
- Prior experience with data annotation, scientific dataset evaluation, or quality assurance systems
- Proficiency with technical tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
- Research background in a specialised physics subfield
Why Join Us
- Work alongside world-leading AI research teams on genuinely frontier problems
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact technical work
- Get rare, hands-on exposure to how advanced LLMs are trained and evaluated
- Contribute to ensuring that AI reasoning stays grounded in the fundamental laws of the universe
- Potential for ongoing work and contract extension as new projects launch
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