Freelance Mechanical CAD&Simulation Engineer - AI Trainer
- Hiring location
- Location not specified
- Work arrangement
- Remote
- Compensation
- USD 37/hour
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 $37 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.
About Mindrift
Mindrift, powered by Toloka, is a platform that connects domain specialists and experts with AI project opportunities from major tech innovators. The company focuses on post-training and evaluation of frontier AI models by creating domain-specific reinforcement learning environments, tasks, and evaluation frameworks. Mindrift enables experts across fields—including mobile development, management consulting, physics research, and other domains—to shape how next-generation generative models learn and perform by converting real-world expertise into structured learning environments. The platform operates on a project-based model, allowing contributors to work on diverse AI initiatives including mobile app development, consulting domain training, physics problem design, and other specialized tasks for leading technology companies.
Artificial Intelligence and Machine Learning
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