Working Student (m/f/d) – Data Labeling (Vietnamese)

Role overview A working student position supporting a data labeling team that trains AI models on Vietnamese-language documents. The role focuses on careful annotation, verification, and correction of labeled data, and is well suited to someone studying alongside work who enjoys focused, detail-oriented tasks.

Responsibilities - Annotate Vietnamese-language documents by marking or labeling key information used to train AI systems. - Verify the accuracy of existing annotations to confirm the AI correctly identifies important information within each document. - Correct erroneous data and refine labels to improve overall dataset quality.

Requirements - Currently enrolled as a student with excellent written and spoken Vietnamese skills, ideally at a native-speaker level. - Fluent spoken and written English and/or German. - Careful, independent working style with strong attention to detail and a responsible approach to handling sensitive data. - Strong concentration and comfort with repetitive, routine tasks. - Willingness to engage with new technologies and tools; no prior IT or machine learning experience is required.

Benefits and work setup - Flexible working hours that adapt to class schedules, with plenty of time to prepare for exams. - Part-time student employee role of 15 to 20 hours per week. - Dedicated mentor to help with onboarding and questions, and an informal first-name culture across all levels. - Flexible work location, with the option to work remotely or from a modern, well-equipped office. - On-site perks including sports and massage services, a foosball table, a lounge area, complimentary coffee, beverages, snacks, and fresh fruit. - Regular virtual and in-person team events that build community. - Choice of one of three perks such as a Bonago voucher, E-Gym membership, or the Deutschlandticket.