About the job
Please submit your CV in English and indicate your English proficiency level.
This freelance, project-based role with Mindrift centers on developing and validating material science problems for AI training. Work is remote, with projects supporting leading technology companies. Assignments are not permanent and align with the needs of each project.
Role overview
- Create original material engineering problems that mirror real-world scenarios and workflows
- Develop problems that require Python programming for engineering computations and simulations
- Design computationally intensive challenges using numerical methods or iterative solutions
- Focus on system design, optimization, and analysis tasks
- Draw inspiration from actual research issues or practical engineering cases
- Validate solutions with Python and standard engineering libraries
- Clearly document each problem statement and provide verified answers
Requirements
- Degree in Material Science or a closely related discipline
- Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar tools is valued
- Minimum of 2 years of experience in applied, research, or teaching roles
- Solid understanding of practical engineering constraints and approximations
- Excellent written English (C1 level or higher)
How projects work
The process includes: Apply, pass qualifications, join a project, complete assigned tasks, and receive compensation.
Time commitment
Expect to dedicate around 10–20 hours per week during active project periods. The actual workload may shift based on project needs.
Compensation
Earn up to $29 per hour, depending on experience and pace. Rates may vary between projects based on complexity and required expertise. Other projects on the platform may offer different compensation according to their needs.

