About the job
Please submit your CV in English and specify your English proficiency level.
This freelance, project-based position at Mindrift connects material scientists with expertise in Python to AI-driven projects for leading technology companies. The work focuses on testing, evaluating, and improving AI systems. This is not a permanent role.
Role overview
Material scientists in this role design and validate advanced engineering problems for AI training. Typical tasks include:
- Creating materials engineering problems that mirror real-world workflows
- Developing challenges that use Python for engineering calculations and simulations
- Ensuring problems are computationally intensive, often using numerical methods or iterative solutions
- Designing problems related to system design, optimization, and analytical processes
- Grounding tasks in real research or practical engineering scenarios
- Validating solutions in Python, often with established engineering libraries
- Documenting problem statements and providing verified solutions
Requirements
- Degree in Material Science or a related discipline
- Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar libraries is also valued
- Minimum of 2 years of professional experience in applied work, research, or teaching
- Solid understanding of practical engineering constraints and approximations
- Excellent written English at C1 level or higher
How to get started
- Apply
- Meet qualification criteria
- Join a project
- Complete assigned tasks
- Receive payment
Time commitment
During active project phases, work typically requires 10–20 hours per week. Workload may vary and is not guaranteed outside of active projects.
Compensation
Contributors can earn up to $45 per hour, depending on project scope, complexity, and expertise. Rates may differ across projects on the platform.
Location: Remote , Sweden

