CAD Engineer - AI Trainer

Mindrift; United States; Remote; USD 83,000 - 95,000; Part time

Job summary

Mindrift is seeking a qualified CAD engineer to train and evaluate AI agents operating inside a real CAD environment on long engineering tasks. You will design geometry, build reference solutions, and assess the agent's attempts alongside CFD engineers simulating your geometry.

A degree in Mechanical or Aerospace Engineering is required, with 5+ years of CAD modelling experience and an active CAD license. Proficiency in Python and GitHub is expected, and English should be at least B2 level.

Qualifications

• Degree in Mechanical or Aerospace Engineering.
• 5+ years CAD modelling experience with CATIA, SolidWorks, Siemens NX, Creo or similar.
• Active CAD license required.
• Python and GitHub familiarity.
• English at B2 level or above.

Responsibilities

• Help train and evaluate AI agents that operate in a real CAD environment.
• Design part geometry and build reference solutions for long engineering tasks.
• Judge the agent's attempts and provide feedback for improvements.

Skills

CAD modelling

Python

GitHub

English communication

Education

Bachelor's degree in Mechanical or Aerospace Engineering

Master's or PhD preferred

Tools

CATIA

SolidWorks

Siemens NX

Creo

ANSYS

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.