Mindrift
ResearchPhysicistwithPythonExperience-FreelanceAITrainer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Physicist with Python Experience - Freelance AI Trainer at Mindrift. Skills: Python, Physics, Numerical simulation. Design computational physics problems. Create problems requiring Python”
Industry & Context.
non-trivial reasoning chains
What They're Looking For.
Must Have
Degree in Physics (Theoretical, Experimental, or Computational) or related, Python proficiency for numerical validation, 2+ years of professional experience: applied, research, or teaching experience, Experience with numerical simulation, Ability to design problems that mirror real physics research, Creative thinking in problem design across diverse physics, Familiarity with physics modeling and approximation, written English (C1+)
Nice to Have
MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language
What You'll Do.
Design computational physics problems
Create problems requiring Python
Ensure problems are computationally intensive
Develop problems requiring reasoning
Base problems on real research challenges
Verify solutions using Python
Document problem statements clearly
Provide verified correct answers
How You'll Work.
Communication Scope
written English (C1+)
Full Job Description
_**Please submit your CV in English and indicate your level of English proficiency.**_ 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 physicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * 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** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time
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