Material Scientist with Python – Freelance AI Trainer
Mindrift · Canada
Job Description
Freelance AI Trainer - Material Scientist with Python
Company: Mindrift Location: Remote (Canada) Contract: Freelance Salary: Up to $35 per hour equivalent
Mindrift connects specialists with project-based AI opportunities for leading tech companies. Our focus is on testing, evaluating, and improving AI systems through expert contributions. Please note that participation is project-based, not permanent employment.
About the Role
This is a freelance opportunity for Material Scientists and Engineers with Python experience to contribute to AI training projects. You will be responsible for designing and developing challenging problems that simulate real-world engineering workflows and require computational solutions.
Key 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.
- Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any other programming language will also be considered.
- 2+ years of professional experience (applied, research, or teaching experience is applicable).
- Understanding of practical engineering constraints and approximations.
- Strong written English (C1+ proficiency required).
Project Details
- Time Commitment: Tasks are estimated to require approximately 10–20 hours per week during active project phases. This is an estimate and not a guaranteed workload.
- Compensation: Earn up to $35 per hour equivalent, depending on your qualifications and contribution pace. Compensation may vary across different projects based on scope, complexity, and required expertise.
How it Works
- Apply
- Pass qualification(s)
- Join a project
- Complete tasks
- Get paid
Please submit your CV in English and indicate your level of English proficiency.
✨ This description was enhanced by AI based on the original listing.