Werkstudent Data QA & Algorithm Benchmarking (m/w/d)

syte GmbH is looking for a working student in Münster to support the quality checking and benchmarking of its building-analysis algorithms. The role focuses on reviewing existing test data, finding additional hard-to-evaluate building cases, and expanding the data set used to measure algorithm performance. You would also look for new data sources, help bring them into the process with as much automation as possible, and run benchmarking workflows to assess both the algorithms and the data itself. Part of the job is to turn results into clear visual output and understandable recommendations, and to work on improvements to the benchmarking pipelines and algorithm settings. The advert refers to work with 3D point clouds, 3D models, and building metrics such as floor area, number of storeys, volume, and building height. It asks for a student in a later bachelor stage or an early master stage in geo/information technology, business informatics, or a data science/statistics focus, plus a valid enrolment certificate. It also looks for someone with strong analytical ability and an interest in statistical analysis of data, and the text is in German. The position is based in Münster, and it is offered as an internship-style working student role. It appears suited to someone who enjoys detailed data work and wants to contribute to improving algorithm quality through structured testing.