Apply mechanical engineering judgment to AI training remotely, using CAD, analysis, and real-world problem-solving expertise. Flexible, project-based work supports experienced engineers. Brunel partners with DataAnnotation to connect practicing Mechanical Engineers with an AI training program. You will create rigorous engineering problems, verify solutions, and assess model performance. Your work may span design, structures, thermal systems, dynamics, controls, manufacturing, automotive, aerospace, HVAC, robotics, or energy. Key Responsibilities:

Design closed-ended problems requiring genuine mechanical engineering reasoning Develop and verify technically rigorous worked solutions Test problems against advanced AI models and refine them Evaluate AI-generated calculations, designs,



and documentation Document assumptions, errors, failures, and overlooked failure modes Requirements:

Two-plus years of professional mechanical engineering experience Mechanical Engineering degree or closely related background Transparent written English communication of complex technical reasoning Strong fundamentals across mechanics, thermodynamics, fluids, and manufacturing Comfort with AI tools and relevant engineering software Use mechanical engineering expertise, technical evaluation, and AI tools to improve accurate engineering model performance remotely.

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📌 Remote Mechanical Engineer AI Trainer (Winnipeg)
🏢 Brunel
📍 Winnipeg