Taxonomy Analyst (French Speaker) ID76368
AgileEngine · Richmond, VA · 1 wk ago
RemoteRemoteAnalystFull-time
About the role
We are looking for a Taxonomy Analyst with native-level English fluency to review, annotate, and classify large-scale job and resume datasets according to strict taxonomy guidelines for an HR tech platform serving global English-speaking markets. You will standardize job titles, map occupations, validate metadata, and perform data cleanup across high-volume datasets while adapting content for regional relevance across diverse English markets. The role requires exceptional pattern recognition, attention to detail, and sound independent judgment on ambiguous data points.
Responsibilities
- Review, annotate, and classify large-scale datasets (job descriptions, resumes, and skill profiles) according to strict taxonomy guidelines;
- Support daily operations by standardizing job titles, mapping occupations, validating metadata, and continuously improving overall taxonomy quality;
- Perform data cleanup and validation to identify patterns, resolve inconsistencies, and ensure accurate, standardized outputs;
- Adapt and validate multilingual and localized content to ensure regional relevance across diverse English markets;
- Strictly follow established labeling guidelines while exercising sound, independent judgment on ambiguous data points.
Requirements
- Must have native-level fluency in English;
- Must have 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, processing, and navigating high-volume datasets.
Nice to haves
- Market knowledge or familiarity with the professional landscapes of Ireland, India, the United Arab Emirates, Australia, or Singapore;
- Domain knowledge in HR tech, recruitment, or job taxonomy (occupational mapping, labor market structures);
- 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 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.