Research assistant for the semantic indexing of AI training data (m/f/d)

The TIB is a foundation of public law of the Land of Lower Saxony. With around 600 employees and an budget of around 60 million euros, it is one of the largest information infrastructure facilities in Germany. As a German Central Library of Technology and Natural Sciences, our pioneering services ensure the infrastructural requirements of high-quality information and literature supply for research in science and industry. With the Open Research Knowledge Graph (ORKG), we work to revolutionize the exchange and use of scientific knowledge in the digital age. The Technical Information Library (TIB), Programme Area A, Stock Development and Metadata is looking for a:n Scientific staff:in for semantic development of AI training data (m/w/d) The job is limited for the duration of the project period of two years. The regular weekly working time is 39.80 hours (full time). The job is generally suitable for parttime employment. The grouping takes place in the remuneration group 13 TV-L.

Within the framework of the project “COUGAR – Body of German Annotated Research Reports” funded by the German Research Foundation (DFG), a semantically annotated body of approx. 120,000 German research reports developed. The site is embedded in the Joint Lab AI & Scholarly Data Analytics TIB-UMR between the TIB and the research group “Multimodal Modelling and Machine Learning” of the University of Marburg. The project aims to provide valuable information in gray literature (e.g. methodological details and negative results) for modern AI applications and Large Language Models (LLMs). The position is located at the interface between classical content development and artificial intelligence and combines proven methods of solution development with modern machine learning. Your activity includes the conception and iterative development of annotation schemes and guidelines on the semantic content development of scientific texts, the operational control and technical guidance of an interdisciplinary team of student assistants, the scientific quality assurance of the body, in particular by ensuring uniform and consistent data quality; the preparation of the results for open-data infrastructures and the participation in scientific publications at national and international conferences.

completed academic studies (master or equivalent degree) in computer linguistics, digital humanities, computer science, library and information science or a related subject very good knowledge of German language in word and writing Experience in the coordination of projects or the guidance of students/helpers strong interest in the further development of librarian development methods in the context of artificial intelligence Required qualifications practical experience with annotation software (e.g. INCEpTION) or computer-assisted text analysis tools good English skills in word and writing Knowledge of content and content development and the application of knowledge organization systems and controlled vocabulary Knowledge of common metadata standards (e.g. Dublin Core, TEI) and XML-based formats Experience in the statistical evaluation of annotation data (e.g. Cohens Kappa)

Our aim is to rethink and innovate the provision and use of research data and information. We offer an intellectually inspiring environment with entrepreneurial thinking, embedded in a leading technical university and one of the largest information centres in the Leibniz community. With the L3S research centre at Leibniz Universität Hannover, one of the world's leading research institutes in the field of Web & Data Science, there is a close cooperation within the framework of the Leibniz Joint Lab Data Science & Open Knowledge. Last but not least, we value an open and creative working environment where it is fun to work. In addition, we offer a community-oriented workplace in the public service on the basis of the TV-L with a remuneration according to the remuneration group 13 TV-L. a special payment at the end of the year and 30 days holiday a year at a five-day week as well as additional free days on Christmas Eve (24.12.) and New Year's Eve (31.12.). a flexible workplace in time and space with offers for the reconciliation of work and family, such as mobile work and flexible working time models. a modern workplace in a central location of Hanover with a collegial, attractive and versatile work environment. an employer with a wide range of continuing and continuing training, occupational health promotion and pension provision for the public service (VBL). Employee discount in the students of the Studentenwerk Hannover as well as the possibility to use the versatile offers of the University Sports Hannover. independent and forward-looking activities that offer variety and leave room for personal development. .