Material Scientist with Python - Freelance AI Trainer
Mindrift offers remote, project-based opportunities for specialists to contribute to the advancement of AI by creating and validating problems for material engineering workflows. Contributors engage in designing original engineering scenarios, developing computational tasks requiring Python for simulations and analyses, and ensuring solutions reflect real-world engineering challenges. The estimated time commitment is 10–20 hours per week when active, with compensation up to $35/hour and the flexibility to join projects as they become available.
Successful candidates will hold a degree in Material Science or a related field, possess at least 2 years of applied, research, or teaching experience, and demonstrate strong proficiency in Python or equivalent programming languages for numerical modeling. Additional expertise in libraries such as Numpy, Pandas, or SciPy, and English proficiency at C1+ are required to document and communicate solutions clearly.
Participation is not permanent employment, and contributors may access new projects over time with varying compensation. Applicants should submit their CV in English and specify their English proficiency level as part of the application process.
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 isproject-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 an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
- 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. Please note that other projects on the platform may offer different earning levels based on their requirements.
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