Job Overview
Mindrift connects specialists with project‐based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project‐based, not permanent employment.
Opportunity Involves
* Design original computational 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;
Qualifications
* Degree in Mechanical Engineering or related fields;
* Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‐specific libraries, Stata or knowledge of any programming language can be equivalent;
* 2+ years of professional experience: applied, research, or teaching experience is applicable;
* Understanding of practical engineering constraints and approximations;
* Strong written English (C1+);
* Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage;
Project Time Expectations
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
Contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise.
#J-18808-Ljbffr