Research Physicist (AI Trainer)

TL;DR

Research Physicist (AI Trainer): Designing computational physics problems and creating Python-based solutions to test and improve AI systems with an accent on real research challenges and practical applications. Focus on developing computationally intensive 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 Numpy, SciPy, Sympy).
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes.
• Develop problems requiring non-trivial 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 and document problem statements clearly.

Requirements

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

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