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Mindrift

Freelance Mechanical CAD, Simulation Engineer – AI Trainer

Mindrift

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

Posted 10/6/2026part-timeRemote • SpainMid-LevelSenior💰 $31 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in CAD modeling 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 ModelingGeometry Preparation for SimulationPython ProgrammingActive Professional CAD LicenseEnglish Proficiency (B2 Level)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CAD ModelingGeometry DesignSimulation PreparationPython ProgrammingGitHub UsageANSYS ExperienceCATIASolidWorksSiemens NXCreo
Industry Keywords
Mechanical EngineeringAerospace EngineeringAI AgentsCFD EngineeringEngineering Tasks

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 AI agent attempts
  • Work alongside CFD engineers who simulate the geometry created

Requirements

What you’ll need
  • A degree in Mechanical or Aerospace Engineering, or a related field
  • 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
  • Tasks estimated at around 10–20 hours per week during active phases; workload is not guaranteed

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
  • Participate in performance-based bonus programs that reward high-quality work and consistent delivery