About the job
Please submit your CV in English and indicate your level of English proficiency.
Mindrift is a pioneering platform that connects talented specialists with project-based opportunities in AI for leading tech companies. Focused on the evaluation, testing, and enhancement of AI systems, we offer contributors a flexible way to engage in innovative projects. Note: This is a project-based role and not a permanent position.
Opportunity Overview
Each project presents unique challenges, where contributors might:
- Invent original material engineering problems that replicate genuine engineering workflows;
- Develop problems that necessitate Python programming for engineering calculations and simulations;
- Create computationally intensive problems requiring numerical methods or iterative solutions;
- Formulate problems focused on system design, optimization, and analysis;
- Base scenarios on actual research challenges or practical applications within engineering;
- Validate solutions using Python alongside standard engineering libraries;
- Clearly document problem statements and provide verified correct answers.
Ideal Candidate Profile
This role is well-suited for material scientists and engineers with Python experience who are open to part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Material Science or a related field;
- Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries may also be acceptable;
- A minimum of 2 years of professional experience in applied research or teaching;
- An understanding of practical engineering constraints and approximations;
- Strong written English skills (C1 or higher).
How to Engage
Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated
Project Time Commitment
During active project phases, contributors can expect to dedicate approximately 10–20 hours per week, based on project requirements. This is an estimate and not a guaranteed workload.
Compensation Details
Contributors may earn up to $14 per hour, depending on their expertise and contribution pace. Compensation can vary by project based on scope, complexity, and required skills. Please note that other projects on our platform may offer different earning levels based on their unique needs.
