CAD Engineer - AI Trainer

Mindrift; Turkey; Remote; TRY 510,000 - 727,000; Part time

Benefits offered by this job

Remote work

Performance-based bonus

Job summary

Mindrift is seeking a CAD modelling expert to train and evaluate AI agents operating inside a real CAD environment on long engineering tasks. You will design part geometry, build reference solutions, and judge the agent’s attempts alongside CFD engineers who simulate the geometry you build.

The role requires 5+ years of hands-on CAD modelling experience, a valid CAD licence, and proficiency in Python and GitHub.

Qualifications

• Degree in Mechanical or Aerospace Engineering (Master/PhD a plus).
• 5+ years CAD modelling experience.
• Active CAD licence required.
• Proficient in Python and GitHub.
• English B2 level or higher.

Responsibilities

• Train and evaluate AI agents in a CAD environment.
• Design part geometry and build reference solutions.
• Judge agent attempts and provide feedback on quality.
• Collaborate with CFD engineers to simulate geometry.

Skills

CAD modelling

Python

GitHub

English (B2+)

Education

Mechanical/Aerospace Engineering degree

Tools

CATIA

SolidWorks

Siemens NX

Creo

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 $9 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