Material Scientist with Python – Freelance AI Trainer
Job description
This Material Scientist with Python role with Freelance AI Trainer is focused on ensure problems are computationally intensive and require numerical methods or iterative solutions. It would suit someone who can bring strong professional approach to the role.
What the work leans on
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. Design original material engineering problems that simulate real engineering workflows.
Where the technical work sits
- Ensure problems are computationally intensive and require numerical methods or iterative solutions.
- Develop problems involving system design, optimization, and analysis.
- Document problem statements clearly and provide verified correct answers.
Technical requirements
- 2+ years of professional experience: applied, research, or teaching experience is applicable.
- 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.
What helps delivery stay steady
Strong professional approach.
Practical details
- This opportunity is a good fit for material scientists & engineers with an experience in python open to part-time, non-permanent projects.
- On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.
- Participation isproject-based, not permanent employment.
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