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Tagging Jobs (NOW HIRING)

Procom

Sr. Business or System Analyst

Austin, TX · On-site

Tagging, data requirements, user stories, measurement, reporting, and delivery readiness for the site rebuild effort. Position Overview This role serves as a critical bridge between business ...

JP Morgan Chase

Quant Analytics Associate

Brooklyn, NY · On-site

You will translate business needs into tagging frameworks, define metrics, source data, develop queries, and create reporting that supports descriptive, diagnostic, predictive, and prescriptive ...

The AES Group

Cloud FinOps Analyst

Washington, DC · On-site

$94K - $111K/yr

Tagging Strategy & Enforcement: Lead the design, implementation, and strict enforcement of cloud resource tagging and naming conventions to ensure complete cost visibility and allocation accuracy.

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Tagging information

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$39K

$114.3K

$150K

How much do tagging jobs pay per year?

As of Sep 14, 2026, the average yearly pay for tagging in the United States is $114,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a tagging job?

Tagging jobs involve labeling or annotating data, such as images, videos, text, or audio, to help train artificial intelligence and machine learning models. Workers review content and apply relevant tags, categories, or descriptive labels according to specific guidelines. These roles are essential in industries like technology, healthcare, and e-commerce, where accurate data annotation improves the performance of automated systems. Tagging jobs can be performed remotely or on-site, and often require attention to detail and familiarity with the subject matter.

What are the key skills and qualifications needed to thrive as a tagging specialist?

To thrive as a Tagging Specialist, you need strong attention to detail, data organization skills, and familiarity with metadata standards, often supported by a background in information management or library science. Experience with content management systems (CMS), digital asset management (DAM) tools, and taxonomy software is typically required. Analytical thinking, consistency, and effective communication are important soft skills for accurately categorizing and collaborating with team members. These competencies ensure that digital assets are easily searchable and accessible, which is vital for efficient information retrieval and workflow processes.

What are some common challenges faced in a tagging role and how can they be managed effectively?

A common challenge in a tagging role is maintaining consistency and accuracy when labeling large volumes of data, especially when guidelines evolve or data is ambiguous. To manage this, taggers often rely on detailed documentation, regular team check-ins, and quality assurance reviews to clarify uncertainties and ensure uniformity. Collaborating closely with project leads and fellow taggers helps to resolve discrepancies and improve processes over time. Staying organized and proactively communicating questions can make the work more manageable and efficient.

What is the difference between Tagging vs Data Entry Clerk?

AspectTaggingData Entry Clerk
Required CredentialsBasic computer skills, sometimes specific software knowledgeHigh school diploma, proficiency in data management software
Work EnvironmentDigital, often remote or in tech companiesOffice settings, administrative environments
Industry UsageUsed in e-commerce, digital media, AI trainingUsed across various industries for record keeping
Common Search/ComparisonOften compared for digital content organizationCompared for administrative data management

Tagging involves labeling digital content for organization or AI training, requiring specific software skills. Data Entry Clerks focus on inputting and managing data in databases, often in office settings. While both roles involve data handling, tagging is more specialized for digital content, whereas data entry is broader and administrative.

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Tagging jobs near you
Infographic showing various Tagging job openings in the United States as of September 2026, with employment types broken down into 82% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $114,320 per year, or $55 per hour.

Metadata Catalog Specialist - Indianapolis - Hybrid

Indianapolis, IN • On-site

aFit Staffing Inc.
See more jobs at aFit Staffing Inc.external

Full-time

Re-posted 29 days ago

Job description

aFit Staffing is seeking a Metadata Catalog Specialist to execute the hands-on work of building out a client's data catalog: scanning source systems, tagging and classifying datasets, curating catalog entries, and producing dataset-level documentation. This role is the primary point of execution for turning an enterprise metadata model and cataloging standards into a populated, usable catalog, and works directly with business or agency stewards during onboarding. 

KEY RESPONSIBILITIES 

Metadata Scanning, Tagging & Catalog Curation 

  • Execute metadata scanning and classification of datasets as systems are onboarded by wave. 
  • Tag and curate catalog entries in accordance with the enterprise metadata model and cataloging standards. 
  • Produce dataset-level documentation for cataloged and inventoried datasets.
  • Administer the data catalog platform, including user access, workflow configuration, and connector/scanner setup. 

Taxonomy, Glossary & Discoverability 

  • Contribute to and maintain business glossary terms, taxonomies, and classification hierarchies. 
  • Improve dataset discoverability through consistent tagging, descriptions, and search optimization within the catalog.
  • Perform periodic quality checks on metadata completeness and accuracy across the catalog. 

Onboarding & Standardization 

  • Assist with catalog standardization and implementation during onboarding waves. 
  • Support business units or agencies in applying consistent metadata, naming, and classification conventions. 
  • Contribute to source and dataset inventories as part of catalog build-out. 

Stewardship Enablement & Training 

  • Build and maintain reusable templates, checklists, and job aids for data stewards. 
  • Apply privacy/sensitivity classification to catalog entries and associated access-control tagging. 
  • Train and support end users and data stewards on catalog tool usage and metadata standards. 
  • Capture lessons learned and recurring patterns from onboarding to improve future catalog builds. 

Documentation & Reporting Support

  • Maintain catalog onboarding and lineage rollout summaries for status reporting.
  • Support project managers and architects with backlog items related to scanning, classification, and catalog readiness. 
  • Store documentation and catalog artifacts in client-owned repositories as directed. 

REQUIRED CERTIFICATIONS : A relevant data catalog or governance platform certification (e.g., Microsoft Applied Skills / Purview data governance credential, Informatica certification), or equivalent demonstrated hands-on catalog experience in lieu of certification. 

PREFERRED QUALIFICATIONS 

  • 3+ years of experience in metadata management, data cataloging, or data stewardship execution roles. 
  • Hands-on experience scanning, classifying, and tagging datasets within a data catalog or governance platform. 
  • Experience developing or maintaining taxonomies, ontologies, or business glossaries. 
  • Direct experience with Microsoft Purview catalog scanning and classification. 
  • Experience working directly with business or agency stakeholders during data onboarding, including end-user training. 
  • Familiarity with privacy/sensitivity classification frameworks. 
  • Familiarity with Informatica or Databricks metadata capabilities.