Overview
Applied Physics Jobs in France at Alignerr
Title: Applied Physics
Company: Alignerr
Location: France
Applied Physics — AI Data Trainer
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 cutting-edge AI models — probing their grasp of quantum mechanics, electrodynamics, thermodynamics, and more — and helping ensure they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role. No prior AI experience needed — just rigorous scientific training and an uncompromising eye for physical truth.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Physics Problems — Craft PhD-level, open-ended problems spanning classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics that demand multi-step reasoning and rigorous mathematical derivation
- Author Ground-Truth Solutions — Write precise, step-by-step "golden responses" with perfect units, constants, and logical flow to serve as the benchmark for AI evaluation
- Audit AI Reasoning — Evaluate AI-generated solutions and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles
- Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop physics-informed reasoning — respecting boundary conditions, conservation laws, and real-world constraints
- Work Independently — Complete task-based assignments asynchronously 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 of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English
- Uncompromising attention to detail — units, scientific notation, and the logical structure of a proof all matter to you
- 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 academic benchmarking
- Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
- Background in research, academia, or technical writing
- Familiarity with AI or LLM evaluation workflows
Why Join Us
- Work on cutting-edge 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, high-impact work
- Contribute directly to ensuring AI respects the laws of physics — work that genuinely matters
- Exposure to advanced large language models and how they are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch
