About the job
We invite you to submit your CV in English, including your level of English proficiency.
Mindrift connects talented specialists with exciting, project-based AI assignments from leading technology companies, focusing on testing, evaluating, and enhancing AI systems. Note: Participation is project-based and not intended for permanent employment.
What this role entails:
Each project may present unique challenges, and contributors can expect to:
- Craft original material engineering problems that reflect authentic engineering workflows.
- Develop problems necessitating Python programming for engineering calculations and simulations.
- Design computationally intensive problems that require numerical methods or iterative solutions.
- Formulate challenges involving system design, optimization, and analytical processes.
- Base problems on real-world research challenges or applicable engineering practices.
- Validate solutions using Python with standard engineering libraries.
- Clearly document problem statements and provide verified correct answers.
Qualifications we seek:
This opportunity is ideal for material scientists and engineers with Python expertise, looking for part-time, non-permanent project engagements. Preferred qualifications include:
- A degree in Material Science or a related field.
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or domain-specific libraries is also acceptable.
- At least 2 years of professional experience in applied research, teaching, or related fields.
- A solid understanding of practical engineering constraints and approximations.
- Strong command of written English (C1+ level).
How it operates:
Apply → Pass qualifications → Engage in a project → Complete tasks → Receive payment.
Project Time Expectations:
Tasks are estimated to require approximately 10–20 hours per week during active project phases, depending on project needs. This is an estimate and not a guaranteed workload.
Compensation:
Contributors can earn up to $29 per hour, based on their expertise and contribution pace. Compensation will vary by project, depending on scope, complexity, and required skills. Other projects on the platform may offer different compensation levels based on their specific requirements.
