Research Physicist with Python Experience - Freelance AI Trainer

51 minutes ago
Part-time
Junior
Artificial Intelligence and Machine Learning
Mindrift.ai: Be the “I” in AI

Mindrift.ai: Be the “I” in AI

Join 10,000+ experts earning $15-50/hr training AI models remotely. Flexible freelance work, weekly payments. No AI experience required. Apply in 5 minutes.

Internet Software & Services

Description

  • Design original computational physics problems that simulate real physics research workflows.
  • Create problem sets that require Python-based solutions using numerical and scientific libraries.
  • Develop computationally intensive tasks that cannot be solved manually within reasonable timeframes.
  • Write problems involving non-trivial reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
  • Base problems on real research challenges or practical physics applications.
  • Verify solutions using Python and standard physics simulation libraries.
  • Document problem statements clearly and provide verified correct answers.
  • Work on project-based tasks during active phases, typically for 10–20 hours per week.

Requirements

  • Degree in Physics (theoretical, experimental, or computational) or a related field.
  • Python proficiency for numerical validation; experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, or Stata may be considered equivalent.
  • 2+ years of professional experience, including applied, research, or teaching experience.
  • 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 proficiency at C1+ level.
  • Willingness to work on part-time, non-permanent, project-based assignments.

Benefits

  • Earn up to $35 per hour equivalent, depending on contribution level and pace.
  • Project-based work with flexible participation during active phases.
  • Estimated workload of 10–20 hours per week during active project periods.
  • Opportunity to contribute to leading tech companies through AI-related physics projects.

Interested in this position?

Apply directly on the company website

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