Freelance Mechanical Cad&Simulation Engineer - Ai Trainer

Mindrift; Madrid; Remote; EUR 31,000 - 38,000; Full time

Benefits offered by this job

Fully remote

Performance bonuses

Job summary

Mindrift is seeking a seasoned CAD engineer to train and evaluate AI agents operating in a real CAD environment. You will design geometry, create reference benchmarks, and assess agent attempts on challenging tasks that can take hours even for experts.

You’ll work with CFD engineers to validate geometries and help advance AI-assisted design. A strong CAD background, licensing, and Python scripting are essential for success.

Qualifications

• Degree in Mechanical or Aerospace Engineering or related field.
• 5+ years of professional CAD modelling experience (CATIA/SolidWorks/Siemens NX/Creo).
• Active CAD licence required; Python and GitHub familiarity preferred.

Responsibilities

• Train and evaluate AI agents in a real CAD environment on long tasks.
• Design part geometry, build reference solutions, and judge agent attempts.
• Collaborate with CFD engineers to validate geometries and simulations.

Skills

CAD modelling

Python

GitHub

English (B2)

Education

Mechanical or Aerospace Engineering degree

Master/PhD a plus

Tools

CAD licence

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 $31 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.