Applied Physics

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.

Toutes les compétences, qualifications et expériences pertinentes dont un(e) candidat(e) retenu(e) aura besoin sont listées dans la description suivante.
Applied Physics — AI Data TrainerAbout 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.

• 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‑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 xwjxdcb 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