Freelance Mechanical CAD&Simulation Engineer - AI Trainer

Mindrift; Kentucky; Remote; USD 80,000 - 95,000; Full time

Benefits offered by this job

Performance bonuses

Fully remote

Job summary

Mindrift offers a freelance role to help train and evaluate AI agents operating within a real CAD environment. You will design part geometry, create reference solutions, and assess the agent's attempts alongside CFD engineers.

The position requires a mechanical/aerospace engineering degree, 5+ years CAD modelling, and an active CAD license. Proficiency in Python and GitHub is essential. This is a fully remote, project-based opportunity with performance-based bonuses.

Qualifications

• Degree in Mechanical or Aerospace Engineering (Master's/PhD a plus).
• 5+ years CAD modelling experience (CATIA, SolidWorks, Siemens NX, Creo or similar).
• Active professional CAD licence required.
• Proficiency in Python and GitHub.

Responsibilities

• Train and evaluate AI agents inside a CAD environment.
• Design part geometry and build reference solutions.
• Judge agent attempts and iterate on solutions.

Skills

CAD modelling

Python

GitHub

English B2

Education

Mechanical/Aerospace engineering degree

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.