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.