Freelance Lecturer (f/m/x): AI Technologies and Applications

Freelancer, Part-time · Berlin

About the Role

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 our M.Sc. Technology & Management program.

As a Freelance Lecturer (f/m/x): AI Technologies and Applications, you will ideally take responsibility for the full 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 their technical, ethical, legal, environmental, economic, and social implications.

Teaching will be organized as a hybrid format:

Intensive weeks on-site on 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 is preferred, but we are open to splitting the module between two lecturers and external presenters.

Responsibilities

Design and deliver the master’s-level module AI 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

REQUIREMENTS

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).

BENEFITS

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

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About us

CODE is a private state-recognized and accredited university of applied sciences that is embedded into the vibrant network of Berlin’s digital economy. At the core of our study programs is a self-directed project-based learning concept. Together with a network of partner organizations, our goal is to provide students with practical, real-world, and digitally-oriented education and the ability to face the technological and social changes and challenges of tomorrow.

About Working At CODE:

CODE’s atmosphere is creative and dynamic, with an international team in the heart of Berlin. We value your strengths and will support you in your professional development as well as provide fair compensation and some fun additions. Most importantly, joining CODE means being a part of a passionate team that is shaping the future of higher education. CODE aims to be a place where everyone feels able to be themselves and do their best in an inclusive and respectful working environment, and where all team members can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of color, LGBTQIA+ and those with disabilities. We value diverse backgrounds and believe they are integral to our growth and development as an institution.

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We are looking forward to hearing from you!

Thank you for your interest in CODE. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to careers@code.berlin.