Material Scientist with Python - Freelance AI Trainer
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Key skills for this role
About the Role
Mindrift connects specialists with project-based AI opportunities. As a Material Scientist with Python - Freelance AI Trainer, you will design original material engineering problems requiring Python programming.
Key Skills for This Role
Responsibilities
- 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
Requirements
- Degree in Material Science 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
- Understanding of practical engineering constraints and approximations
- Strong written English (C1+)
Full Job Posting
Overview
- 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 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
- Degree in Material Science 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
- Understanding of practical engineering constraints and approximations
- 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 $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
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