Quantum Research Scientist with Python - Freelance AI Trainer

Mindrift

9h • $35

About The Position

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 quantum researchers with an experience in python open to part-time, non-permanent projects.

Requirements

• 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+)

Responsibilities

• 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 This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed