Taxonomy Analyst (French Speaker) ID76368

AgileEngine • Baltimore, MD

6d • Hybrid

About The Position

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.

Requirements

• 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.

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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed