Optical Engineer Python - Freelance AI Trainer

Mindrift connects specialists with project‑based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

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, Sci Py, Sympy);
• Ensure problems are computationally intensive and cannot be solved manually within reasonable time frames (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.

This opportunity is a good fit for optical engineers with 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, Sci Py, 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+).

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

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.

On this project, contributors can earn up to $35 per hour equivalent
, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.