Applied Physics

Applied Physics (AI Training)

About The Role

What if your years of physics training 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 nature.

This is a fully remote, flexible contract role built for researchers and domain experts who want to do meaningful, intellectually stimulating work on their own schedule. No prior AI experience required — just deep physics expertise and a sharp analytical mind.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Problems — Craft PhD-level, open-ended physics problems that demand multi-step logical reasoning, rigorous mathematical derivation, and deep conceptual understanding across topics like quantum mechanics, electrodynamics, and thermodynamics
• Author Ground-Truth Solutions — Write definitive, step-by-step "golden responses" where every physical constant, unit conversion, and logical inference is airtight and defensible
• Audit AI Reasoning — Evaluate AI-generated simulations, proofs, and explanations for physical consistency — identifying where models "hallucinate" physics that violates first principles like conservation of energy or momentum
• Refine Model Behavior — Provide structured, expert feedback that helps AI systems develop more robust physics-informed reasoning, including correct handling of boundary conditions, symmetry arguments, and physical constraints

Who You Are

• Holds a PhD (completed or near-final stage) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep command of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional at explaining complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising attention to detail — units, scientific notation, dimensional analysis, and logical proof structure all matter to you
• Self-motivated and comfortable working independently on technical tasks
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for technical content
• Proficiency with computational tools such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar
• Background in physics education, research publishing, or technical writing
• Familiarity with AI or language model evaluation workflows

Why Join Us

• Work on high-impact AI projects in collaboration with leading AI research labs
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the intellectual depth of research-grade work
• Put your expertise to use on problems that genuinely challenge you
• Potential for ongoing work and contract extension as new projects launch