Research Physicist with Python Experience - Freelance AI Trainer

Overview

Mindrift runs project-based AI work for specialists who help evaluate, test, and improve advanced AI systems for major technology companies. This is not a permanent role; contributors are brought in for individual projects.

Applicants should send a CV in English and include their English proficiency level.

What you may work on

• Create original computational physics questions that reflect authentic research-style workflows.
• Build problems that require Python-based solving with tools such as NumPy, SciPy, and SymPy.
• Make sure the tasks are computationally demanding and not realistically solvable by hand in a short time.
• Develop questions that involve deeper reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
• Ground the tasks in real physics research challenges or practical applications.
• Check and validate solutions using Python and standard physics simulation libraries.
• Write clear problem statements and provide verified correct answers.

Profile sought

This project suits physics professionals with Python experience who are comfortable with part-time, non-permanent assignments. Suitable backgrounds include theoretical, experimental, or computational physics, as well as closely related disciplines.

• Degree in Physics or a related subject.
• Python knowledge for numerical validation; equivalent experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or another programming language may also be accepted.
• At least 2 years of professional experience, including applied, research, or teaching work.
• Experience with numerical simulation techniques.
• Ability to create problems that resemble real physics research workflows.
• Creative approach to problem design across multiple areas of physics.
• Familiarity with physics modeling and approximation methods.
• Strong written English at C1 level or above.

How the work process works

The process is: apply, complete qualification steps, join a project, carry out tasks, and receive payment.

Workload and pay

During active project periods, the expected commitment is about 10 to 20 hours per week. This is only an estimate and is not guaranteed.

Compensation can be as high as the equivalent of $35 per hour, depending on your level and contribution pace. Pay may vary from one project to another based on scope, complexity, and required expertise.