Research Physicist with Python Experience - Freelance AI Trainer
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Key skills for this role
About the Role
Mindrift is seeking a Physics specialist with Python proficiency for project-based AI training work. You will design computational physics problems, create Python solutions, and contribute to improving AI systems on a freelance basis.
Key Skills for This Role
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
- 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
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 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+)
Full Job Posting
Opportunity Overview
- Mindrift connects specialists with project based AI opportunities for leading tech companies
- Participation is project based, not permanent employment
- Tasks estimated to require around 10–20 hours per week during active phases
What this opportunity involves
- 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
- 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+)
Compensation
- Contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution
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