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CAD Engineer - AI Training

United States (Remote)

$69/hour
RemotePart-time

Remote · check country restrictions. Remote does not mean work from any country. Confirm permitted countries and work authorization before applying.

Remote locations: United States

Remote work schedule

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Employer: America/New_York 09:00–17:00 · estimated from United States (country spans several time zones), you can change it

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Description (EN)

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 $69 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.

Originally posted on Himalayas

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Published today

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