Learning Content Engineer - AI (Hybrid) | Learning Content Engineer - KI (m/w/d) - Hybrid
StackFuel GmbH
Job Summary
This role is dedicated to designing and developing high-quality, practical training content for the Artificial Intelligence portfolio, focusing heavily on Machine Learning, Generative AI, and modern AI workflows. The engineer will leverage deep technical expertise and strong instructional design skills to identify relevant AI topics, conceptualize effective learning paths, and ensure their didactic implementation. Key responsibilities include the development, maintenance, and quality assurance of AI training programs, structuring modules from foundational concepts to advanced technical topics like agent systems and specialized engineering applications. Furthermore, the role requires structured project management to coordinate internal processes and steer external experts and freelancers, ensuring content is delivered efficiently, on time, and meets high technical and didactic standards. This hybrid position offers the opportunity to work in a rapidly growing company focused on cutting-edge technologies like Big Data and AI, shaping the future of technical education.
Required Skills
Education
Completed degree in a STEM field or comparable technical qualification
Experience
- Professional experience in didactic preparation and creation of technical learning content, ideally in AI, Data, or Software Engineering
- Ability to quickly familiarize oneself with complex AI topics (e.g., Agent systems, Model integration, modern Frameworks)
- Routine use of modern AI tools for content creation (e.g., ChatGPT, HeyGen, Synthesia, translation tools)
- Experience in coordinating and managing internal and external contributors (Freelancers, subject matter experts)
Languages
Additional
- Hybrid work model (based in Berlin); Structured, independent, and solution-oriented working style required; Team and communication strength necessary for managing external experts.
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