Optical Engineer with Python - Freelance AI Trainer
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About the Role
Contributors design computational physics problems using Python, ensuring complexity and real-world relevance, requiring strong physics background and creative problem-solving s.
Key Skills for This Role
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Overview
- 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.
- 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 $35 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.
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