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Freelance Lecturer (f/m/x): AI Technologies and Applications
CODE Education GmbH
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Freelance Lecturer (f/m/x): AI Technologies and Applications
Job summary
A leading educational institution in Germany seeks a Freelance Lecturer to teach AI Technologies and Applications in their M.Sc. program. Responsibilities include designing the module, delivering lectures both on-site and online, and developing interactive learning materials. Candidates should have a Master’s degree in a related field and expertise in AI. This role offers attractive remuneration and the opportunity to work within a collaborative community of tech professionals.
Benefits
Qualifications
- Master’s degree required, PhD or equivalent experience preferred.
- Experience in roles like Machine Learning Engineer or Data Scientist.
- Solid knowledge of Machine Learning and AI technologies.
Responsibilities
- Design and deliver the AI Technologies and Applications module.
- Develop interactive learning materials incorporating practical work.
- Facilitate challenge-based learning formats with hands-on exercises.
Skills
Education
We are looking for an experienced AI expert to join our pool of freelance lecturers for the master’s module“MTM_01 – AI Technologies and Applications”in ourM.Sc. Technology & Managementprogram.
As aFreelance Lecturer (f/m/x): AI Technologies and Applications, you will ideally take responsibility for thefull 15 ECTS module, which consists of the course“AI Technologies”and the case study“Technical Dimensions of AI Applications”. In this role, you will guide students in understanding, selecting, evaluating, and adapting contemporary AI technologies, while also critically reflecting on theirtechnical, ethical, legal, environmental, economic, and social implications.
Teaching will be organized as ahybrid format:
- Intensive weeks on-siteon CODE’s Berlin campus (two blocks of 2.5 days, approx. 09:00–18:00 incl. breaks)
- Synchronous online sessions(one 3.25-hour slot per week)
Full responsibility for the module by one lecturer ispreferred, but we areopen to splitting the modulebetween two lecturers and external presenters.
- Design and deliver the master’s-level moduleAI Technologies and Applications(15 ECTS)
- Teaching is organized in two intensive teaching blocks on campus (2.5 days each) and a series or synchronous remote sessions.
- Develop and curate learning materials that combine theoretical input with practical, hands-on work using contemporary AI technologies.
- Facilitate interactive, challenge-based learning formats, including group work and case discussions, hands-on exercises and projects related to real-world AI applications
- Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a closely related field. A PhD or equivalent research experience is a plus but not mandatory.
- Professional expertise in AI, e.g. as Machine learning engineer, data scientist, AI researcher, AI product/tech lead, or similar role
- Solid knowledge of core AI technologies, such as Machine learning and deep learning, applied AI systems and AI applications in products/services, awareness of current developments (e.g. foundation models, generative AI, LLM-based systems)
- A solid background in education or training, with the ability to captivate and inspire diverse audiences.
- Strong communication and facilitation skills in English (spoken and written).
- Flexibility to design workshops remotely (with facilitation on our Berlin campus)
- Frequent engagements and a trustful collaboration
- Attractive remuneration and reimbursement of travel and accommodation expenses for intensive days on campus
- Be part of CODE’s vibrant community of tech professionals and educators
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.