Research Physicist with Python Experience - Freelance AI Trainer
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Key skills for this role
About the Role
Mindrift is seeking a Research Physicist with Python experience for a freelance AI Trainer role. The work involves designing computational physics problems and verifying solutions using Python, with a focus on AI training.
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 (or equivalent in MATLAB, R, C, SQL, etc.)
- 2+ years of professional experience (applied, research, or teaching)
- Experience with numerical simulation methods
- Ability to design problems that mirror real physics research workflows
- Strong written English (C1+)
Full Job Posting
Opportunity Overview
- 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
- 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
- On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.
Project Time Expectations
- Tasks are estimated to require around 10 20 hours per week during active phases.
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