Applied Physics (AI Training) About The Role What if your expertise in quantum mechanics, thermodynamics, and electrodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they respect the fundamental laws of the universe. This is a fully remote, flexible contract role built for researchers and domain experts who want to apply their deep knowledge to one of the most consequential technology challenges of our time.

No prior AI experience required — 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 complex, open-ended problems at PhD qualifying exam level that demand multi-step logical reasoning, mathematical derivation, and deep physical intuition

Author Ground-Truth Solutions — Produce rigorous, step-by-step "golden responses" with airtight unit analysis, precise constants, and logically sound derivations

Audit AI Reasoning — Evaluate AI-generated proofs and simulations for physical consistency, identifying where models "hallucinate" physics that violates first principles like conservation of energy or momentum

Refine AI Understanding — Provide structured,



expert feedback that improves a model's ability to reason within physical constraints — from boundary conditions to thermodynamic limits 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 explain complex physical phenomena and mathematical derivations in clear, structured English

Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure

Self-motivated and reliable when 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 systems

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

Background in applied or computational physics research

Familiarity with AI or machine learning systems as an end user Why Join Us Work on cutting-edge AI projects alongside world-leading AI research labs

Fully remote and adaptable — work when and where it suits you

Freelance autonomy with the structure of meaningful, high-impact technical work

Apply your PhD-level expertise to problems that directly shape how AI understands physical reality

Potential for ongoing work and contract extension as new projects launch

📌 Applied Physics (Delhi)
🏢 Alignerr
📍 Delhi