Remote Applied Physicist: Stress-Test AI with Real Physics

Alignerr Corp.; City of Edinburgh; Remote; GBP 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking PhD-level Applied Physicists to stress-test cutting-edge AI models by challenging them with advanced physics problems and rigorous, step-by-step solutions that respect physical laws.

This fully remote, hourly contract role offers flexible scheduling and requires 10–40 hours per week. Candidates should have deep expertise in classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics, with clear written English; no prior AI experience is required.

Qualifications

• PhD (completed or near completion) in Applied Physics or related field.
• Deep mastery of classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics.
• Excellent ability to articulate complex physical concepts in clear English.

Responsibilities

• Design advanced physics problems at PhD exam level.
• Author rigorous, step-by-step solutions with precise constants and units.
• Audit AI reasoning for physical consistency and adherence to fundamental laws.
• Provide expert feedback to refine model behaviour respecting conservation laws and dimensional analysis.
• Cover foundational topics across mechanics, electrodynamics, statistical mechanics, and quantum mechanics.

Skills

PhD-level

Applied Physics

Strong written English

Education

PhD in Applied Physics or closely related field

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

Alignerr is seeking PhD-level Applied Physicists to stress-test cutting-edge AI models by challenging them with advanced physics problems and rigorous, step-by-step solutions that respect physical laws.

This fully remote, hourly contract role offers flexible scheduling and requires 10–40 hours per week. Candidates should have deep expertise in classical mechanics, electrodynamics, statistical mechanics, and quantum mechanics, with clear written English; no prior AI experience is required.