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Data Taxonomy Job Jobs (NOW HIRING)

AgileEngine

Taxonomy Analyst

Port Charlotte, FL · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

SAIC

Taxonomy Specialist

Washington, DC · On-site

$80K - $120K/yr

Data Governance Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None ... ORA_REMOTE Description SAIC is looking for a Taxonomy Specialist to help confer with GAO staff to ...

AgileEngine

Taxonomy Analyst

Boca Raton, FL · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

San Francisco, CA · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

West Palm Beach, FL · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

Los Angeles, CA · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

Boston, MA · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

Tampa, FL · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

Chicago, IL · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst

Miami, FL · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

AgileEngine

Taxonomy Analyst ID76178

Atlanta, GA · On-site

You will standardize job titles, map occupations, validate metadata, and perform data cleanup ... taxonomy quality; - Perform data cleanup and validation to identify patterns, resolve ...

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All JobsData Taxonomy Job Jobs

Data Taxonomy Job information

What jobs use taxonomy?

Jobs that use taxonomy include data analysts, data scientists, information architects, and data managers. These roles involve organizing, classifying, and managing data using taxonomies, ontologies, or controlled vocabularies, often utilizing tools like Excel, SQL, or specialized taxonomy management software. Knowledge of data modeling and classification standards is essential for these positions.

What is the future of data taxonomy?

The future of data taxonomy involves increased automation through machine learning and AI to improve data classification and management. As organizations generate larger data volumes, robust taxonomies will be essential for data governance, interoperability, and analytics, requiring professionals to develop skills in data modeling and tools like ontologies and metadata standards.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.

What do you need to be a data taxonomy specialist?

A data taxonomy specialist typically needs a strong understanding of data management, classification, and metadata standards, along with skills in data modeling and ontology development. Proficiency in tools like Excel, SQL, or specialized taxonomy software is often required, and relevant certifications in data management or information architecture can be beneficial. Attention to detail and the ability to collaborate with data teams are also important for success in this role.
More about Data Taxonomy Job jobs
What states have the most Data Taxonomy Job jobs? States with the most job openings for Data Taxonomy Job jobs include:
What job categories do people searching Data Taxonomy Job jobs look for? The top searched job categories for Data Taxonomy Job jobs are:
Data Taxonomy Job jobs near you
Infographic showing various Data Taxonomy Job job openings in the United States as of July 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 42% In-person, 29% Hybrid, and 29% Remote job distribution.
Taxonomy Analyst

Taxonomy Analyst

AgileEngine

Port Charlotte, FL • On-site

Other

Posted 5 days ago

Job description


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 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
- 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 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.

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