
Major Responsibilities:
Analyze and improve the data quality of multilingual text classifiers Partner with Linguistics and Engineering teams to develop parsers across multiple languages Translate taxonomies, including Skills, Titles, and Occupations Analyze and clean data using Excel and other data analysis tools Apply language, data, and text analysis expertise to support high-quality global data
Education and Experience:
Proficiency in reading and writing German required, including an understanding of language syntax and structural analysis Reliable laptop and internet access required Bachelor's degree in Linguistics, Data Analytics, Natural Language Processing (NLP), or a related field preferred Multilingual candidates strongly preferred, particularly those proficient in Dutch or Turkish Experience with Microsoft Excel, including VLOOKUPs, data cleanup, and functions Knowledge of query languages such as SQL Advanced knowledge of rule writing using regular expressions (RegEx) Knowledge of text analysis or machine learning principles Experience with data analysis using tools such as Excel Ability to perform repetitive, detail-oriented work with accuracy and consistency Ability to follow complex instructions, navigate ambiguity, and work independently Strong sense of urgency, organization, and time management