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About the Role
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.
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+)
- Optical engineers with experience in Python
Skills
- Python
- Numpy
- SciPy
- Sympy
- MATLAB
- R
- C
- SQL
- Pandas
- Stata
- Numerical simulation methods
- Physics modeling
- Approximation techniques
Location
- Remote
Work Type
- Part-time
- Project-based
- Non-permanent
Experience Level
- 2+ years of professional experience
Education Level
- Degree in Physics (Theoretical, Experimental, or Computational) or related fields
Salary/Compensations
- Up to $45 per hour equivalent
About the Company
- Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.