About the job
Please submit your CV in English and specify your English proficiency level.
Mindrift connects experienced specialists with project-based AI roles at leading technology companies. Assignments focus on testing, evaluating, and improving AI systems. All roles are project-based and do not represent permanent employment.
Role overview
This freelance position calls for a Material Scientist with strong Python skills. Projects involve engineering and programming challenges, with each assignment offering new technical problems and the chance to influence AI tools built for engineering applications.
Key responsibilities
- Create original material engineering problems based on real-world workflows
- Design tasks that require Python programming for engineering calculations and simulations
- Ensure problems include computationally intensive tasks, numerical methods, or iterative solutions
- Formulate questions centered on system design, optimization, and analysis
- Base assignments on real research challenges or practical engineering scenarios
- Validate solutions using Python and standard engineering libraries
- Document problem statements and provide verified answers
Requirements
- Degree in Material Science or a related field
- Proficient in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar tools is valued
- Minimum of 2 years' professional experience in applied, research, or teaching roles
- Strong understanding of practical engineering constraints and real-world approximations
- Excellent written English (C1 level or higher)
Project commitment
Expect to dedicate roughly 10–20 hours per week during active project phases. Actual workload may change depending on project needs and timing.
Compensation
Earn up to $17 per hour, based on experience and contribution speed. Compensation for other projects on the platform may vary depending on complexity and requirements.
How to apply
- Submit your CV in English and indicate your English proficiency level
- Complete qualification steps
- Join a project when selected
- Finish assigned tasks
- Receive payment
Location: Remote, Uruguay
