Material Scientist with Python - Freelance AI Trainer

About Mindrift

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 material engineering problems that simulate real engineering workflows.
• Create problems requiring Python programming to solve engineering calculations and simulations.
• Ensure problems are computationally intensive and require numerical methods or iterative solutions.
• Develop problems involving system design, optimization, and analysis.
• Base problems on real research challenges or practical applications from engineering practice.
• Verify solutions using Python with standard engineering libraries.
• Document problem statements clearly and provide verified correct answers.

What We Look For

This opportunity is a good fit for material scientists & engineers with experience in Python, open to part-time, non-permanent projects. Ideally, contributors will have:

• A degree in Material Science or related fields.
• Proficiency in Python for numerical validation. Equivalent knowledge in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or Stata is also considered.
• At least 2 years of professional experience, which can include applied, research, or teaching experience.
• An understanding of practical engineering constraints and approximations.
• Strong written English skills (C1+).

How It Works

The process involves applying, passing qualifications, joining a project, completing tasks, and receiving payment.

Project Time Expectations

For this specific project, tasks are estimated to require approximately 10-20 hours per week during active project phases. This is an estimate and not a guaranteed workload, applicable only when a project is active.

Compensation

Contributors on this project can earn up to the equivalent of $45 per hour, based on their expertise and contribution speed. Compensation levels may vary across different projects on the platform depending on their scope, complexity, and required skills.