Physics Expert with Python - Freelance AI Trainer

Mindrift; Minnesota; Hybrid; USD 86,375 - 123,019; Part time

Job summary

Mindrift is seeking contributors in the United States for project-based AI opportunities in computational physics. Ideal candidates will have a degree in Physics or related fields, with Python proficiency and 2+ years of professional experience. Responsibilities include designing computational problems, ensuring they are intensive and realistic, and verifying solutions via Python. Contributors can earn up to $76 per hour depending on experience and project requirements. Flexible working hours expected to be 10-20 hours per week during active phases.

Qualifications

• 2+ years of professional experience in applied, research, or teaching.
• Ability to design computational problems based on research workflows.
• Experience with problem-solving in diverse physics areas.

Responsibilities

• Design computational physics problems simulating real research workflows.
• Create problems requiring programming solutions using Python.
• Verify solutions with standard physics simulation libraries.

Skills

Python proficiency

Numerical simulation methods

Creative problem design

Strong written English (C1+)

Education

Degree in Physics or related fields

Tools

Numpy

SciPy

MATLAB

R

C

SQL

Pandas

Stata

Job description

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What This Opportunity Involves

While each project involves unique tasks, contributors may:

• Design original computational physics problems that simulate real physics research workflows;
• Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
• Develop problems requiring non‑trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
• Base problems on real research challenges or practical applications from physics practice;
• Verify solutions using Python with standard physics simulation libraries;
• Document problem statements clearly and provide verified correct answers

What We Look For

This opportunity is a good fit for physicians with an experience in Python open to part‑time, non‑permanent projects. Ideally, contributors will have:

• 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+)

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.