
Trainer for CAD and Artificial Intelligence in Engineering
Posted Aug 20

Posted Aug 20
This is a fully remote position, open to applicants in Germany.
• Instructing on practical, job-relevant knowledge of CAD systems, generative design, and the professional application of AI in engineering.
• Guiding mechanical engineering professionals through their transition to modern digital product development.
• Assisting participants in enhancing their efficiency on design tasks with AI support.
• Providing instruction on the appropriate utilization of generative AI tools.
• Teaching participants how to critically and professionally assess technical results generated by AI.
• Optimizing contemporary CAD and engineering workflows.
• Educating on the responsible and economically sound integration of AI into daily professional practices.
• Supporting the digital engineering process from design tasks through AI-assisted analysis, generative variant development, technical evaluation, and optimization, leading to documentation and integration into professional practices.
• Clearly explaining complex technical subjects and addressing participant inquiries.
• A degree or technical training in mechanical engineering, product development, design engineering, or a related field.
• A minimum of 5 years of professional experience in design, product development, or CAD engineering.
• Excellent proficiency in at least one professional CAD system, such as Autodesk Inventor, SolidWorks, CATIA, or Fusion.
• Hands-on experience with parametric design and modern CAD workflows.
• Strong knowledge of current AI applications within the engineering and CAD landscape.
• Proven experience in the productive use of generative AI solutions, including ChatGPT, Microsoft Copilot, Claude, Gemini, or similar systems.
• Familiarity with AI-supported functionalities in modern CAD systems, such as generative design or automated optimization.
• Ability to professionally evaluate and critically analyze AI-generated outcomes.
• A confident understanding of the opportunities, limitations, risks, and quality standards associated with generative AI.
• Experience in teaching technical content to adults or similar training experience.
• Ideally, experience with generative design and topology optimization.
• Knowledge of current advancements in AI for engineering.
• Experience in analyzing and refining design processes.
• Familiarity with parametric modeling and automated variant generation.
• Experience in prompt engineering for technical inquiries.
• Competence in integrating AI into existing engineering workflows.
• Experience in assessing the technical feasibility, manufacturability, and functionality of AI-generated solutions.
• Knowledge of data protection, copyright, and responsible AI use in a corporate environment.
• Experience in coaching, project work, or hands-on knowledge transfer.
• Familiarity with Autodesk Fusion Generative Design or equivalent solutions.
• Knowledge of Autodesk AI, SolidWorks AI, CATIA 3DEXPERIENCE AI, or similar platforms.
• Experience with BIM-supported AI applications.
• Familiarity with visual scripting solutions such as Dynamo or Grasshopper.
• Experience with automation tools like Python, Power Automate, or n8n.
• Knowledge of concepts in digital product development, such as Digital Twin, PLM, or simulation.
• Experience with AI-supported documentation and knowledge management.
• Familiarity with modern cloud CAD systems.
• AEVO qualification or a comparable pedagogical qualification.
• Individualized development of potential.
• Independent and responsible work environment.
• Long-term contract security.
• Competence-oriented, fair, and reliable deployment planning.
• Flexibility to work from home.
• A structured pre-planning period lasting three to nine months.
• Opportunities for virtual networking.
• Teaching from a home office using Microsoft 365.
• An innovative working environment.
• A warm and collegial atmosphere.
• Transparent communication practices.
• Active exchange among trainers.
• Digital networking events.
• Discounts on seminars.
• Comprehensive onboarding process.
• Discounts available for obtaining the pedagogical qualification (AEVO).
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InnoData
Mercor
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