Optical Engineer (AI Trainer)

TL;DR

Optical Engineer (AI Trainer): Designing computational physics problems that simulate real physics research workflows with an accent on Python programming using Numpy, SciPy, and Sympy. Focus on developing problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics.

Salary: Up to $76 per hour equivalent

Company

hirify.global connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

What you will do

• Design original computational physics problems that simulate real physics research workflows.
• Create problems requiring Python programming to solve, using libraries like Numpy, SciPy, and Sympy.
• Develop problems requiring reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
• Base problems on real research challenges or practical applications from physics practice.
• Verify solutions using Python with standard physics simulation libraries.
• Document problem statements clearly and provide verified correct answers.

Requirements

• Degree in Physics (Theoretical, Experimental, or Computational) or related fields.
• Python proficiency for numerical validation.
• 2+ years of professional experience in applied, research, or teaching roles.
• Experience with numerical simulation methods.
• Ability to design problems that mirror real physics research workflows.
• Strong written English (C1+)

Culture & Benefits

• Participation is project-based, not permanent employment.
• Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.
• Compensation varies across projects depending on scope, complexity, and required expertise.

Hiring process

• Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid