The Role
Review, annotate, and classify high-volume German-language job and resume datasets. Standardize job titles, map occupations, validate metadata, perform data cleanup, track edge cases, ensure regional DACH and Swiss German accuracy, and communicate written data insights and guideline feedback in English.
Summary Generated by Built In
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Taxonomy Analyst with German fluency to review, annotate, and classify high-volume job and resume datasets for an HR tech platform serving Germany and Switzerland. You will standardize job titles, map occupations, validate metadata, and perform systematic data cleanup while ensuring regional accuracy across DACH market terminology — with particular attention to Swiss German nuances and local professional market contexts. Candidates with Swiss market expertise are strongly preferred.
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 German content, ensuring regional relevance across Germany and Switzerland;
- Handle Swiss German nuances and market-specific 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 German;
- 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 Switzerland and/or Germany;
- 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.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
Skills Required
- 3+ years experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation
- Native-level fluency in German
- Strong professional English communication skills (written and spoken)
- Outstanding attention to detail, pattern recognition, and sound judgment with ambiguous data
- Extensive experience reviewing and navigating high-volume, complex datasets
- Deep market knowledge of Switzerland and/or Germany recruitment landscapes
- Background in HR/job taxonomy (occupational mapping, ESCO) or similar
- Proficiency with Excel, Google Sheets, or basic SQL queries
- Hands-on experience with LLMs/AI tools (e.g., ChatGPT, Gemini, Claude) for data curation or model evaluation
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
