Remote Applied Physicist for AI Training & Benchmarking

Alignerr Corp.; Dallas (TX); On-site; USD 83,000 - 165,000; Part time

Job summary

Alignerr Corp. is seeking an Applied Physics Specialist (AI Training) to design advanced physics problems and author ground‑truth solutions for cutting‑edge AI models.

This fully remote, hourly contract role targets researchers who can audit AI proofs for physical consistency and push models toward real physical understanding. PhD‑level expertise in classical mechanics, electrodynamics, statistical and quantum mechanics is essential, along with outstanding written English and self‑direction.

Qualifications

• PhD completed or near completion in Applied Physics, Physics, Engineering Physics, or a closely related field.
• Deep mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
• Exceptional ability to communicate complex phenomena and derivations in clear English.

Responsibilities

• Design open‑ended, multi‑step physics problems at PhD exam level.
• Author precise, ground‑truth solutions with constants and unit conversions.
• Audit AI reasoning for physical consistency and identify violations of first principles.
• Provide expert feedback to refine model behavior around boundary conditions and laws.
• Contribute to university or research‑level evaluation datasets testing AI understanding.

Skills

Strong written English

Attention to detail

Independent work

Effective communicator

Education

PhD in Applied Physics

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

Alignerr Corp. is seeking an Applied Physics Specialist (AI Training) to design advanced physics problems and author ground‑truth solutions for cutting‑edge AI models.

This fully remote, hourly contract role targets researchers who can audit AI proofs for physical consistency and push models toward real physical understanding. PhD‑level expertise in classical mechanics, electrodynamics, statistical and quantum mechanics is essential, along with outstanding written English and self‑direction.