[Hiring] Optical Engineer with Python - Freelance AI Trainer @Mindrift

Role Description

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:

• 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.

Qualifications

• 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+).

Requirements

This opportunity is a good fit for optical engineers with experience in Python open to part-time, non-permanent projects.

Benefits

• Compensation: 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.

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.