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Cad Engineer Ai Trainer

  • Cad Engineer Ai Trainer job type Posted on: Oct 11, 2026
  • Cad Engineer Ai Trainer experience level Mindrift
  • Cad Engineer Ai Trainer employment type Remote, Remote
  • Cad Engineer Ai Trainer salary Salary: $69 per hour
  • Cad Engineer Ai Trainer employment type Remote
  • Cad Engineer Ai Trainer salary Full-time

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Job Title :

Cad Engineer Ai Trainer

Job Type :

Full-Time

Job Location :

Remote Remote United States

Remote :

Yes

Jobcon Logo 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 $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.

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

61443A3C5D

Employment:

Full-time

Salary:

$69 per hour

City:

Remote

Job Origin:

WORKABLE_ORGANIC_FEED

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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.

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