Research Physicist - Freelance AI Trainer

Please submit your CV in English and indicate your level of English proficiency.

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

Participation is project-based, not permanent employment.

What This Opportunity Involves

While each project involves unique tasks, contributors may:

• Design original optics problems that simulate real physics research workflows.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days or weeks).
• Develop problems requiring non‑trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
• Base problems on real research challenges or practical applications from optics and physics practice.
• Document problem statements clearly and provide verified correct answers.

What We Look For

This opportunity is a good fit for physicians open to part‑time, non‑permanent projects. Ideally, contributors will have:

• Degree in Physics (Theoretical, Experimental, or Computational) or related fields.
• More than 2 years of professional experience, including applied, research, or teaching experience.
• Experience with numerical simulation methods.
• Ability to design problems that mirror real physics research workflows.
• Creative thinking in problem design across diverse physics areas.
• Familiarity with physics modeling and approximation techniques.
• Strong written English (C1 or higher).

How It Works

Apply, pass qualification(s), join a project, complete tasks, and get paid.

Project Time Expectations

Tasks are estimated to require around 10 to 20 hours per week during active phases, based on project requirements. This estimate is not a guaranteed workload and only applies while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.