About the job
We invite you to submit your CV in English and specify your English proficiency level.
Mindrift is a pioneering platform that links experts with project-based AI endeavors for top-tier technology companies, concentrating on the testing, evaluation, and enhancement of AI systems. Please note that participation is project-based and not intended for permanent employment.
Opportunity Overview
Each project presents distinct tasks, and contributors may be involved in:
- Creating innovative material engineering challenges that reflect genuine engineering processes;
- Formulating problems that necessitate Python programming for engineering calculations and simulations;
- Ensuring that challenges are computationally demanding and utilize numerical methods or iterative solutions;
- Developing scenarios related to system design, optimization, and analysis;
- Grounding problems in real-world research difficulties or practical engineering applications;
- Validating solutions using Python and recognized engineering libraries;
- Clearly documenting problem statements and providing verified correct solutions.
Candidate Profile
This role is ideally suited for material scientists and engineers experienced in Python, looking for part-time, non-permanent projects. Ideal candidates will possess:
- A degree in Material Science or related disciplines;
- Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific libraries being advantageous;
- At least 2 years of professional experience, which can include applied work, research, or teaching;
- A solid understanding of practical engineering limitations and approximations;
- Excellent written English skills (C1+ level).
Process Overview
Steps to engage: Apply → Meet qualifications → Join a project → Complete tasks → Receive payment.
Project Commitment
During active phases, tasks are expected to take approximately 10-20 hours per week, contingent on project needs. This is an estimate and not a guaranteed workload.
Compensation Details
Participants can earn up to $26 per hour, contingent on their contribution level and pace. Compensation may vary by project scope, complexity, and expertise required, with potential variations in earning levels based on different project demands.
