About the job
Please submit your CV in English and specify your English proficiency level.
Mindrift is dedicated to connecting talented specialists with exciting project-based AI opportunities at leading technology companies, focusing on the testing, evaluation, and optimization of AI systems. This role is project-based and does not offer permanent employment.
Opportunity Overview:
Each project presents unique tasks, and contributors may be involved in:
- Designing original materials engineering problems that mimic real-world engineering workflows;
- Creating problems that necessitate Python programming for engineering calculations and simulations;
- Ensuring that problems are computationally complex and require numerical methods or iterative solutions;
- Developing problems related to system design, optimization, and analysis;
- Formulating problems based on authentic research challenges or practical engineering applications;
- Validating solutions using Python with established engineering libraries;
- Clearly documenting problem statements and providing verified correct answers.
Desired Qualifications:
This opportunity is ideal for material scientists and engineers with Python experience open to part-time, non-permanent projects. Preferred qualifications include:
- 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 programming languages is also acceptable;
- A minimum of 2 years of relevant professional experience, including applied research or teaching experience;
- A solid understanding of practical engineering constraints and approximations;
- Strong written English skills (C1+ level).
How the Process Works:
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Project Time Expectations:
For this project, tasks are expected to require approximately 10–20 hours per week during active phases, based on project demands. This is an estimate and not a guaranteed workload, applicable only while the project is active.
Compensation:
Contributors can earn up to $14 per hour, depending on their expertise and contribution pace. Compensation may vary across projects based on their scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their specific requirements.
