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Metadata Taxonomy Jobs (NOW HIRING)

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

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

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

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

This person owns, operates, and continuously evolve AI-powered and automated solutions across the ad tech ecosystem including ad trafficking, taxonomy creation, metadata tracking, media activation ...

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

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

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

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

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

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

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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Metadata Taxonomy information

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$29

How much do metadata taxonomy jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for metadata taxonomy in the United States is $15.74, according to ZipRecruiter salary data. Most workers in this role earn between $11.78 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Metadata Taxonomy vs Metadata Specialist?

AspectMetadata TaxonomyMetadata Specialist
Primary RoleDevelops and organizes classification systems for dataImplements and manages metadata standards and schemas
Required SkillsKnowledge of taxonomy development, data organizationExpertise in metadata standards, data management tools
Work EnvironmentData management teams, information architectureData governance, digital asset management
Common UsageCreating taxonomies for content categorizationApplying metadata to improve data retrieval

The main difference is that Metadata Taxonomy focuses on designing classification systems for data, while Metadata Specialist implements and manages metadata standards. Both roles are essential in data management but serve different functions within the data lifecycle.

What are Metadata Taxonomy jobs?

Metadata Taxonomy jobs involve organizing, categorizing, and maintaining structured classification systems (taxonomies) and metadata frameworks to help organizations manage their information efficiently. Professionals in this field develop and implement systems that define how data is described, tagged, and retrieved, ensuring consistency and improving discoverability across digital assets. These roles are crucial in industries like libraries, e-commerce, publishing, and technology, where managing vast amounts of information is essential. Responsibilities may include designing taxonomies, establishing metadata standards, and collaborating with IT and content teams to support information architecture.

What is a metadata taxonomy?

A metadata taxonomy is a structured classification system used by metadata professionals to organize and categorize data attributes, making it easier to search, retrieve, and manage information. It involves defining categories, hierarchies, and relationships among metadata elements, often supported by tools like metadata management software and standards such as Dublin Core or schema.org.

What are the key skills and qualifications needed to thrive as a Metadata Taxonomist, and why are they important?

To thrive as a Metadata Taxonomist, you need a deep understanding of information science, taxonomy design, metadata standards, and often a degree in library science or a related field. Familiarity with taxonomy management tools (such as PoolParty or TopBraid), content management systems, and metadata schemas like Dublin Core or schema.org is typically required. Excellent attention to detail, strong analytical thinking, and effective communication skills help collaborate with stakeholders and ensure consistent data organization. These skills are crucial for creating clear, scalable classification systems that optimize information retrieval and support business objectives.

What kind of jobs in media bring in $150,000 a year?

High-paying media jobs that can earn $150,000 or more annually include senior roles such as media directors, content strategists, and digital marketing managers, often requiring extensive experience, leadership skills, and proficiency with analytics tools. Executive positions like media executives or producers in large organizations also typically reach this salary level, especially with advanced certifications and a strong industry network.

How does a Metadata Taxonomy professional typically collaborate with other departments to ensure consistent data classification across an organization?

Metadata Taxonomy professionals frequently work with teams such as IT, content management, product, and data analytics to develop and maintain unified classification systems. They facilitate workshops and meetings to align stakeholders on taxonomy structures, resolve ambiguities, and gather feedback on organizational needs. This collaborative approach ensures that metadata standards are consistently applied, making information easier to find and manage across platforms. Effective communication and cross-functional teamwork are essential aspects of this role.

How do you become a data taxonomy specialist?

To become a data taxonomy specialist, individuals typically need a background in information management, library science, or data science, along with skills in data modeling, metadata standards, and taxonomy development. Gaining experience through relevant certifications, such as DAMA-DMBOK or ISO standards, and working with data management tools can also enhance qualifications.

How much do metadata librarians make?

Metadata librarians typically earn a median annual salary of around $55,000 to $75,000, depending on experience, education, and location. They often work in libraries, archives, or information management settings, utilizing skills in cataloging, taxonomy development, and metadata standards.
More about Metadata Taxonomy jobs
What cities are hiring for Metadata Taxonomy jobs? Cities with the most Metadata Taxonomy job openings:
What states have the most Metadata Taxonomy jobs? States with the most job openings for Metadata Taxonomy jobs include:
Infographic showing various Metadata Taxonomy job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 2% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $32,732 per year, or $15.7 per hour.
Taxonomy Analyst

Taxonomy Analyst

AgileEngine

Boston, MA โ€ข 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.