Freelance Mechanical CAD & Simulation Engineer – AI Trainer

🔥 38 minutes ago

🌐 Brazil, Argentina, +4 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇨🇱 Chile – Remote 🇲🇽 Mexico – Remote 🇵🇪 Peru – Remote

💵 $14 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Mindrift

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏪 Marketplace

☁️ SaaS

Artificial Intelligence • Marketplace • SaaS

Mindrift is a platform that connects skilled professional contributors and domain experts with AI training and evaluation projects run by leading technology companies. Part of Toloka, Mindrift recruits and vets freelancers—writers, editors, QA specialists, scientists, and subject-matter experts—to generate data, test model safety and reasoning, evaluate media quality, and build real-world scenarios that improve AI performance and reliability. It operates as a talent marketplace and platform for on-demand AI training, onboarding contributors through assessments and identity verification and offering flexible, paid project work.

📋 Description

• Train and evaluate AI agents working inside a real CAD environment on long engineering tasks • Design part geometry • Build reference solutions • Judge and evaluate AI agents' attempts • Work alongside CFD engineers who simulate the built geometry

🎯 Requirements

• A degree in Mechanical or Aerospace Engineering, or a related field • 5+ years of professional, hands-on CAD modelling experience • Experience with CATIA, SolidWorks, Siemens NX, Creo, or similar • Experience preparing geometry for simulation using 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

🏖️ Benefits

• Work fully remote on your own schedule • Apply expertise to real-world technology projects • Gain experience building high-quality solutions for a global platform • Performance-based bonus programs rewarding high-quality work and consistent delivery • Flexible workload of approximately 10–20 hours per week during active project phases (not guaranteed)

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