Mindrift connects specialists with project‐based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. Participation is project‐based, not permanent employment.
What This Opportunity Involves
* 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.
What We Look For
* Degree in Material Science or related fields;
* Python proficiency for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‐specific libraries, Stata, or other programming languages is acceptable;
* 2+ years of professional experience: applied, research, or teaching experience is applicable;
* Understanding of practical engineering constraints and approximations;
* Strong written English (C1+).
How It Works
Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid
Project time expectations
For this project, tasks are estimated to require around 10‐20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
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