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.

WHAT YOU WILL DO

- 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.

MUST HAVES

- Native-level fluency in English;

- 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.

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.