Research Physicist with Python Experience - Freelance AI Trainer

About Mindrift

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused 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 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 (days/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 physics practice.
• Verify solutions using Python with standard physics simulation libraries.
• Document problem statements clearly and provide verified correct answers.

What We Look For

This opportunity is a good fit for physicists with experience in Python, open to part-time, non-permanent projects. Ideally, contributors will have:

• A degree in Physics (Theoretical, Experimental, or Computational) or related fields.
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent.
• 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.
• Creative thinking in problem design across diverse physics areas.
• Familiarity with physics modeling and approximation techniques.
• Strong written English (C1+).

How It Works

The process involves applying, passing qualifications, joining a project, completing tasks, and getting paid.

Project Time Expectations

For this specific project, tasks are estimated to require approximately 10-20 hours per week during active phases, depending on project requirements. This is an estimate and not a guaranteed workload, applicable only while the project is active.

Compensation

On this project, contributors can earn up to the equivalent of $45 per hour, based on their skill level and contribution pace. Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels.

Additional Information

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