Mechanical Engineer with Python - Freelance AI Trainer

March 9, 2026
Open
Open
Location
Vietnam
Occupation
Part-time
Experience level
Mid-level
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Job Summary

Join Mindrift in a fully remote, project-based role collaborating with leading tech companies to test and enhance AI systems for mechanical engineering applications. Engage in tasks such as designing engineering problems, evaluating AI-generated solutions, and validating results using Python. Expect a flexible, non-permanent contract with compensation up to $40/hour, with payment details and time commitment (estimated 10–20 hours/week during active phases) specified per project.

Ideal candidates hold a degree in Mechanical Engineering (or related fields), possess 3+ years of professional experience, and demonstrate advanced Python skills. Strong written English (C1/C2) is essential, as well as a stable internet connection. Professional certifications like PE, CEng, or PMP, and experience in international or applied engineering projects, are advantageous.

This opportunity suits engineers seeking flexibility and exposure to cutting-edge AI projects, with a straightforward process: apply, qualify, participate, and get paid. Rates and incentives vary by project, and higher compensation is offered for specialized expertise.

Highlight
Highlight

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 isproject-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

  • Design graduate- and industry-level mechanical engineering problems grounded in real practice.
  • Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.
  • Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).
  • Improve AI reasoning to align with first principles and accepted engineering standards.
  • Apply structured scoring criteria to assess multi-step problem solving.

What we look for

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

  • Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc.
  • 3+ years of professional mechanical engineering experience
  • Strong written English (C1/C2)
  • Strong Python proficiency for numerical validation
  • Stable internet connection 

Professional certifications (e.g., PE, CEng, PMP) 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.

Payment

  • Paid contributions, with rates up to $40/hour* 
  • Fixed project rate or individual rates, depending on the project
  • Some projects include incentive payments

*Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

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Mindrift
Welcome to Mindrift — a space where innovation meets opportunity. We're a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. Our focus lies in creating data for generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time. At Mindrift, we believe in the power of collective intelligence to shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for greater relevance. Let's build the future of AI together, one task at a time.
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