About the Role
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
Responsibilities
- 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
Requirements
- Material scientists & engineers with experience in Python
- Open to part-time, non-permanent projects
- Degree in Material Science or related fields
- 2+ years of professional experience (applied, research, or teaching)
- Understanding of practical engineering constraints and approximations
- Strong written English (C1+)
Skills
- Python proficiency for numerical validation
- MATLAB
- R
- C
- SQL
- Numpy
- Pandas
- SciPy
- Domain-specific libraries
- Stata
- Knowledge of any programming language
Location
- Remote
Work Type
- Part-time
- Project-based
- Non-permanent
Experience Level
- 2+ years of professional experience
Education Level
- Degree in Material Science or related fields
Salary/Compensations
- Up to $45 per hour equivalent
About the Company
- Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
