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Freelance Quantum Research Scientist & AI Trainer with Python Expertise

MindriftRemote — Manitoba, Canada
Remote Part-time CA$35/hr - CA$35/hr

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Experience Level

Experience

Qualifications

To excel in this project, candidates should have:A degree in Physics (Theoretical, Experimental, or Computational) or related fields;Proficiency in Python for numerical validation, alongside familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language;A minimum of 2 years of professional experience, whether in applied research or teaching roles;Expertise in numerical simulation methodologies;The ability to design challenges that closely resemble genuine physics research workflows;Creative problem-solving skills across various physics disciplines;An understanding of physics modeling and approximation techniques;Excellent written English proficiency (C1+ level).

About the job

This freelance Quantum Research Scientist & AI Trainer role at Mindrift is project-based and remote, open to candidates based in Manitoba, Canada. Mindrift partners with specialists to support AI development at top tech companies, focusing on evaluating and improving AI systems through short-term assignments. These roles are not permanent employment positions.

Role overview

This position is designed for quantum researchers with strong Python programming skills who are interested in part-time, non-permanent projects. The main focus is on creating and validating computational physics challenges that reflect real research workflows.

What you will do

  • Design original computational physics problems based on authentic research scenarios
  • Create tasks that require Python programming to solve, often using libraries such as Numpy, SciPy, or Sympy
  • Ensure problems are computationally intensive and not easily solvable by hand
  • Develop challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics
  • Base problems on real-world research questions or practical physics applications
  • Validate solutions in Python using standard physics simulation libraries
  • Document problem statements clearly and provide verified, correct answers

Requirements

  • Degree in Physics (theoretical, experimental, or computational) or a related field
  • Proficiency in Python for numerical validation; experience with tools like MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is valued
  • At least 2 years of professional experience in applied, research, or teaching roles
  • Experience with numerical simulation techniques
  • Ability to design problems that mirror real research workflows in physics
  • Creativity in developing problems across various physics domains
  • Familiarity with physics modeling and approximation methods
  • Strong written English skills at C1+ level

Project commitment

During active project phases, expect to spend about 10–20 hours per week on assigned tasks. Workload may vary and is only guaranteed during active project periods.

Compensation

Contributors can earn up to $35 per hour, depending on expertise and task completion rate. Pay rates vary by project scope, complexity, and required skills. Other projects on Mindrift may offer different compensation levels.

Application process

  1. Submit a CV in English and specify your English proficiency level
  2. Complete the qualification process
  3. Join a project
  4. Work on assigned tasks
  5. Receive payment

About Mindrift

Mindrift is an innovative platform that connects talented specialists with project-based AI opportunities in leading technology companies, emphasizing the improvement and evaluation of AI systems.

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