Applied Physics Specialist (AI Training) About The Role What if your years of rigorous physics training could directly shape how AI reasons about the physical world? We're looking for PhD-level Applied Physicists to stress-test and improve cutting-edge Large Language Models — probing their understanding of quantum mechanics, electrodynamics, thermodynamics, and more. This is a fully remote, versatile contract role built for researchers and academics who want to do intellectually meaningful work on their own schedule.

No prior AI experience needed — your deep domain expertise is what matters.

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 mastery of first principles

Author Ground-Truth Solutions: Write precise, step-by-step "golden responses" — verifying every constant, unit conversion, and logical step along the way

Audit AI Reasoning: Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates fundamental laws

Refine Model Behaviour: Provide structured, expert feedback that improves AI reasoning around boundary conditions, conservation laws, and physics-informed constraints

Push the Boundaries:



Work on university-level and research-level benchmarks spanning quantum mechanics, classical mechanics, electromagnetism, statistical mechanics, and more Who You Are 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 analytical writing ability — you can explain complex derivations and physical phenomena in clear, structured English

Uncompromising precision when it comes to units, scientific notation, and the logical flow of a proof

Self-motivated and consistent when working independently

No prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality, or evaluation workflows for scientific datasets

Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL

Background in research publication, academic instruction, or technical writing Why Join Us Work on high-impact AI projects alongside the world's leading AI research labs

Fully remote and flexible — structure your work around your research, teaching, or personal schedule

Freelance autonomy with meaningful, intellectually stimulating task-based work

Gain direct exposure to how frontier LLMs are trained and evaluated

Potential for ongoing work and contract extension as new projects launch

📌 Applied Physics Specialist (Delhi)
🏢 Alignerr
📍 Delhi