CAD Engineer - AI Trainer

🏢 Mindrift
📍 BahrainPart-timeRemote
📅 Posted: 1w ago🔄 Updated: 1w ago
CV%
✨ AI Summary
This role involves training and evaluating AI agents within a CAD environment to perform complex engineering tasks. Responsibilities include designing part geometry, creating reference solutions, and assessing AI agent performance. The role requires collaboration with CFD engineers. The position is fully remote, offering flexible working hours and the opportunity to work on real-world technology projects.
Required Skills
Information Technology
○Python○GitHub○SIEM
Engineering, Construction & Trades
○CATIA○SolidWorks○Creo○ANSYS
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.RequirementsA 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.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00