Student assistant

The Hector Research Institute of Education Sciences and Psychology is seeking support for an AI Teaching project Operationalising Critical AI Literacy: A Gamified and “Student as Partners” Teaching Toolkit for Responsible Generative AI Use in Social Science. The work focuses on developing units introducing foundational knowledge of Generative AI and prompt engineering, helping students understand how AI outputs are generated, shaped, and evaluated. To support the technical development and setup of these learning units, the research institute is hiring

One Student Assistant (m/f/d) in the field of gamified AI-literacy learning tasks
in the scope of up to 40 hours/month each.

The positions are to be filled for the period from November 1st, 2026 to December 31st, 2026.

Typical activities:

• Gamified Learning Tasks: Assisting with short explainers, gamified quizzes, prompt-building challenges, comparison tasks, and scenario-based decision activities.
• AI-Literacy Benchmarking: Supporting the benchmarking of AI-literacy criteria with emphasis on prompt-engineering competencies, to anchor learning objectives.
• Testing & Documentation: Testing online activities from a student perspective and documenting technical, usability, or content-related issues.

Your profile:

• Enrolled Student: Currently enrolled at the University of Tübingen or another higher education institution.
• Required Fit: We welcome applicants from any discipline who bring at least one of the following: basic programming or web-development skills; experience with gamification or interactive learning design; or a strong interest in the technical side of digital learning, paired with a willingness to learn.
• Interest: An interest in Generative AI, prompt engineering, AI literacy, and technology-supported teaching.
• Technical and Design Skills: Initial experience with digital learning environments, learning activities, interactive tasks, or basic technical implementation is desirable. Experience with web development (e.g. HTML/CSS/JavaScript, or frameworks such as React/Next.js) is a strong plus.
• Soft Skills: A structured, independent, and reliable approach to work, with attention to detail and an interest in collaborative work in an interdisciplinary environment. Proficiency in German and English.

If you are interested in working on this project, we look forward to receiving your written application (including cover letter, curriculum vitae, high school diploma, intermediate examination certificate or transcript of records) by email in a PDF document by 19th October, 2026 to Dr. Fang Xu at fang.xu@uni-tuebingen.de. If you have any questions regarding the position before applying, feel free to reach out!

The University of Tübingen is committed to equity and diversity and actively promotes equal opportunities. Equally qualified candidates with disabilities will be given preference in the hiring process. The University of Tübingen is committed to increasing the percentage of women in research and teaching and thus encourages women with adequate qualifications to apply.