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Mechanical Engineer & Python Expert - Freelance AI Trainer

Mindrift, Phoenix, AZ, United States


Please submit your CV in English and indicate your level of English proficiency.

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.

What This 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

What We Look For
This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

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

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

$69 per hour equivalent , depending on their level and pace of contribution.

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