Taxonomy Analyst (Dutch Speaker)

About the role

We are looking for a Taxonomy Analyst with Dutch fluency to review, annotate, and classify high-volume job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving the Netherlands and Belgium. You will standardize job titles, map occupations, validate metadata, and perform systematic data cleanup while ensuring cultural, linguistic, and regional relevance across Dutch-speaking markets. The role requires outstanding attention to detail, sharp pattern recognition, and deep knowledge of regional language nuances.

What you will do

• Review, annotate, and classify high-volume datasets (job descriptions, resumes, and candidate profiles) aligning with established taxonomy guidelines;
• Support taxonomy operations by standardizing job titles, mapping occupations, and validating complex metadata to ensure consistent and accurate system outputs;
• Identify linguistic or structural data patterns;
• Perform systematic data cleanup;
• Handle validation tasks on large-scale datasets;
• Cross-reference and validate Dutch content, ensuring regional relevance across the Netherlands and Belgium;
• Handle Flemish nuances and Netherlands Dutch professional terminology;
• Communicate data insights;
• Track edge cases;
• Provide written feedback on guidelines in English via Slack and team syncs.

Must haves

• +3 years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
• Native-level fluency in Dutch;
• Strong professional communication skills in English (written and spoken) for daily team collaboration and data feedback;
• Outstanding attention to detail, sharp pattern recognition skills, and the ability to exercise sound judgment when handling ambiguous data points;
• Extensive experience reviewing and navigating high-volume, complex datasets.

Nice to haves

• Deep market knowledge of the professional and recruitment landscapes in the Netherlands and/or Belgium (Flemish market);
• Specialized background or knowledge in HR / job taxonomy (occupational mapping, labor market frameworks like ESCO);
• Proficiency with Excel, Google Sheets, or basic SQL queries;
• Hands-on experience working with LLMs / AI tools (e.g., ChatGPT, Gemini, Claude) for data curation, model evaluation, or prompt validation.