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Mindrift

Freelance Mechanical CAD Engineer – AI Trainer

Mindrift

. Train and evaluate AI agents working inside a real CAD environment on long engineering tasks .

Posted 10/13/2026contractRemote • Israel, Jordan, Lebanon, Turkey, ArmeniaMid-LevelSenior💰 $19 per hourWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in CAD Modelling and Geometry Preparation for Simulation, with a strong foundation in Mechanical or Aerospace Engineering. Proficient in Python and GitHub, with the ability to train and evaluate AI agents in engineering tasks.

Highest-signal resume keywords
CAD ModellingCATIASolidWorksSiemens NXPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CAD ModellingGeometry PreparationAI Agent EvaluationEngineering DesignSimulation Preparation
Tools & Technologies
CATIASolidWorksSiemens NXCreoANSYSGitHub
Certifications & Qualifications
Active Professional CAD Licence
Industry Keywords
Mechanical EngineeringAerospace EngineeringCFD EngineeringEngineering TasksProject Management

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Train and evaluate AI agents working inside a real CAD environment on long engineering tasks
  • Design part geometry
  • Build reference solutions
  • Judge the AI agent's attempts
  • Work alongside CFD engineers who simulate the geometry built
  • Complete project tasks estimated at around 10–20 hours per week during active phases

Requirements

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

Benefits

Comp & perks
  • 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
  • Performance-based bonus programs rewarding high-quality work and consistent delivery