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CAD Engineer - AI Trainer

Role overview

Qualifications

  • A degree in Mechanical or Aerospace Engineering, or a related field
  • 5+ years of professional, hands-on CAD modelling experience
  • Active professional CAD licence
  • Comfortable with Python and GitHub

Responsibilities

  • Help train and evaluate AI agents in a CAD environment
  • Design part geometry and build reference solutions
  • Judge the agent's attempts alongside CFD engineers
  • Prepare geometry for simulation

Hard skills

About the company

Mindrift logo

Mindrift

  • Job Boards & Talent Marketplaces
  • SME
  • 501–1,000
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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Job description

About the role 

Help train and evaluate AI agents that work inside a real CAD environment on long engineering tasks, work that would take an expert 10–15 hours. You'll design part geometry, build reference solutions, and judge the agent's attempts. You'll work alongside CFD engineers who simulate the geometry you build.

Requirements

  • A degree in Mechanical or Aerospace Engineering, or a related field. A Master's or PhD is a plus.
  • 5+ years of professional, hands-on CAD modelling (CATIA, SolidWorks, Siemens NX, Creo or similar). Experience preparing geometry for simulation (ANSYS or similar) is a strong plus.
  • An active professional CAD licence of your own (required).
  • Comfortable with Python and GitHub.
  • English at B2 level or above.

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 $9 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you? 

  • Work fully remote on your own schedule with just a laptop and stable internet connection. 
  • Apply your expertise to real-world technology projects while gaining experience building high-quality solutions for a global platform. 
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery.

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