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Freelance AI Trainer - Research Physicist with Python Expertise

MindriftRemote — Queensland, Australia
Remote Part-time A$35/hr - A$35/hr

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Experience Level

Experience

Qualifications

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+).

About the job

Please submit your CV in English and specify your English proficiency level.

Mindrift connects experienced professionals to project-based AI work with leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. This is a contract role, not a permanent position.

Role overview

This freelance AI Trainer position is designed for research physicists with strong Python skills. Contributors create and validate advanced computational physics problems that help refine AI capabilities. All work is remote and project-based, with assignments varying by project.

What you will do

  • Design original computational physics problems that reflect real research workflows.
  • Create challenges that require Python programming to solve, using libraries like Numpy, SciPy, and Sympy.
  • Ensure problems are computationally intensive and not solvable manually in a reasonable timeframe.
  • Develop problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, or quantum mechanics.
  • Base challenges on authentic research questions or practical applications in physics.
  • Validate solutions using Python and standard physics simulation libraries.
  • Document clear problem statements and provide verified solutions.

Requirements

  • Degree in Physics (theoretical, experimental, or computational) or a closely related field.
  • Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus.
  • At least 2 years of professional experience in applied physics, research, or teaching.
  • Expertise in numerical simulation techniques.
  • Ability to design problems that reflect real research workflows in physics.
  • Creative problem-solving across multiple physics domains.
  • Familiarity with physics modeling and approximation methods.
  • Strong written English at C1 level or above.

Application steps

  1. Apply
  2. Pass qualifications
  3. Join a project
  4. Complete assigned tasks
  5. Receive compensation

Time commitment

During active project phases, tasks typically require 10–20 hours per week. Actual hours may vary depending on project needs. There is no guaranteed minimum workload.

Compensation

Contributors can earn up to $35 per hour, depending on contribution level and speed. Rates may differ between projects based on scope, complexity, and required expertise. Other Mindrift projects may offer different compensation levels.

Location: Remote , Queensland, Australia

About Mindrift

Mindrift connects talented specialists with exciting AI projects for leading tech firms, focusing on enhancing and evaluating AI systems through innovative problem-solving approaches.

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