The Role
Review, annotate, and classify high-volume job and resume datasets to standardize job titles, map occupations, validate metadata, and ensure data quality. Adapt multilingual content for Swedish market relevance, follow strict labeling guidelines, and perform data cleanup and pattern identification while exercising independent judgment on ambiguous items.
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 Swedish fluency to review, annotate, and classify high-volume job and resume datasets according to strict taxonomy guidelines for an HR tech platform. You will standardize job titles, map occupations, validate metadata, and perform data quality checks while adapting content for cultural and linguistic relevance across the Swedish market. The role requires exceptional pattern recognition, deep knowledge of Sweden’s professional landscape, and sound independent judgment on ambiguous data points.
WHAT YOU WILL DO
- Review, annotate, and classify high-volume datasets (job descriptions, resumes, and candidate profiles) according to strict taxonomy guidelines;
- Support taxonomy operations by standardizing job titles, mapping occupations, and validating metadata to ensure consistent and accurate outputs;
- Perform regular data quality checks, identify language/data patterns, and clean up unstructured data;
- Adapt and validate multilingual content, ensuring cultural, linguistic, and market relevance for Sweden;
- Strictly follow established labeling guidelines while exercising sound, independent judgment when dealing with ambiguous data.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Native-level fluency in Swedish is mandatory;
- Strong professional communication skills in English (written and spoken) for daily syncs, Slack, and written data feedback;
- 3+ years of proven experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation;
- Strong analytical skills, exceptional attention to detail, and sharp pattern recognition abilities;
- Proven experience reviewing and processing high-volume datasets.
NICE TO HAVES
- Deep market knowledge of the Swedish job market, recruitment structures, or local occupational mapping;
- Background or knowledge in HR / job taxonomy;
- 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, prompting, or evaluation.
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.
Skills Required
- Authorized to work for any employer in the US (no sponsorship)
- Native-level fluency in Swedish
- Strong professional communication skills in English (written and spoken)
- 3+ years experience in taxonomy, metadata management, content classification, data validation, or data labeling/annotation
- Strong analytical skills, attention to detail, and pattern recognition
- Proven experience reviewing and processing high-volume datasets
- Deep market knowledge of the Swedish job market or local occupational mapping
- Background or knowledge in HR / job taxonomy
- Proficiency with Excel / Google Sheets or basic SQL queries
- Hands-on experience working with LLMs / AI tools (ChatGPT, Gemini, Claude) for data curation or evaluation
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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.
