Aerospace and Automotive Specialist, Part-Time AI CAD Review - Remote

Design mechanical parts in CAD and check engineering work for AI training on your own schedule, explaining where it needs correction.

This AI-training work uses prior professional CAD experience to build realistic mechanical work, explain design decisions, and flag practical fixes. You turn technical requirements into 3D parts, assemblies and drawings, and walk through why you made each design choice. You also check CAD files and other engineering work against the specifications, and when something falls short, you explain the practical fix.

This is that work, done remotely around your schedule.

• Build and edit 3D mechanical parts and components in CAD
• Turn technical requirements into engineering drawings, and into parts, assemblies and surface models
• Work through your parametric modeling workflow step by step, noting the tools and methods you used and why you chose them
• Check CAD files and other engineering work against the specifications for accuracy and consistency, then explain the practical fixes

• Get paid $63–$122 an hour
• Apply your mechanical design skills to real part design, assembly and surface modeling tasks
• Work part-time on a flexible schedule as an independent contractor
• Fully remote and flexible, no fixed shifts, no commute

• A background in aerospace, automotive or mechanical engineering, or a closely related field
• Professional CAD design or engineering-project experience, with a strong grasp of mechanical design, assemblies, surface modeling and parametric modeling, plus careful attention to detail and analytical problem-solving.
• Fluent English and clear written communication; CATIA experience and experience contributing to AI training projects are helpful.
• No AI experience needed.

• $63–$122 per hour, paid hourly as an independent contractor
• Part-time, flexible schedule; fully remote, United States

Open Train AI connects experienced professionals with paid, part-time AI training work: shaping and improving the AI systems that companies are building right now.