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Freelance Quantum Research Scientist & Python AI Trainer

MindriftRemote — Israel
Remote Part-time $35/hr - $35/hr

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Experience Level

Experience

Qualifications

We are looking for candidates who possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related field;Proficiency in Python for numerical validation, as well as familiarity with other programming languages such as MATLAB, R, C, SQL, and relevant libraries;At least 2 years of pertinent professional experience in applied research, teaching, or similar areas;Experience in numerical simulation techniques;The ability to design complex physics problems that reflect real-world research methodologies;Creative and innovative problem-solving skills across different physics domains;An understanding of physics modeling and approximation techniques;Strong proficiency in written English (C1+ level).

About the job

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

Mindrift connects subject-matter experts with project-based AI assignments for technology companies. The work centers on testing, evaluating, and improving AI systems. All roles are contract-based and not permanent positions.

Role overview

This freelance role focuses on creating and validating advanced computational physics problems that reflect real research processes. Projects challenge contributors to design original problems that require Python programming, using libraries such as Numpy, SciPy, and Sympy. Each problem should involve calculations or simulations that cannot be solved by hand in a reasonable timeframe.

Expect to develop problems across mechanics, electromagnetism, thermodynamics, and quantum mechanics, drawing on genuine research challenges or practical applications. Solutions must be validated with Python and standard physics simulation tools. Clear documentation and verified answers are essential for every problem statement.

Requirements

  • Degree in Physics (theoretical, experimental, or computational) or a related discipline
  • Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is a plus
  • At least 2 years of professional experience in applied research or teaching
  • Experience with numerical simulation methods
  • Ability to design problems that mirror authentic research workflows in physics
  • Skill in innovative problem design across multiple physics domains
  • Understanding of modeling and approximation techniques in physics
  • Excellent written English skills at C1 level or higher

Project process

  1. Application
  2. Qualification process
  3. Project onboarding
  4. Task completion
  5. Compensation

Time commitment

Active project phases usually require 10–20 hours per week. Actual workload varies by project and depends on current assignments. This estimate applies only during active project periods.

Compensation

Contributors can earn up to $35 per hour, depending on experience and contribution pace. Actual rates vary with project scope, complexity, and expertise required. Compensation levels differ across projects on the Mindrift platform.

About Mindrift

Mindrift is a dynamic platform that connects skilled professionals with innovative project-based opportunities in the AI sector, particularly aimed at enhancing AI systems by collaborating with top technology companies.

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