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Data Tagging Jobs in Indiana (NOW HIRING)

... tagging and data collection. * Experience with performing data collection on building systems (HVAC, refrigeration, point of sale). * Preferable but not essential to have additional experience with ...

Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., "Icons not properly masked," "Labels too small"). YOU ARE A FIT IF YOU...   * Have an eye ...

The PPE will ensure a consistent tagging approach that enables desired reporting while validating tagging and usability within both Adobe Analytics UI as well as raw clickstream data - during feature ...

The PPE will ensure a consistent tagging approach that enables desired reporting while validating tagging and usability within both Adobe Analytics UI as well as raw clickstream data - during feature ...

Principal Engineer

Indianapolis, IN · Hybrid

$120K - $225K/yr

The PPE will ensure a consistent tagging approach that enables desired reporting while validating tagging and usability within both Adobe Analytics UI as well as raw clickstream data - during feature ...

Field Operations Intern

Remington, IN · On-site

$14.50 - $18.75/hr

Collecting pollination data * Ensuring compliance with Worker Protection Standards (WPS) Soybean Production Activities * Field identification and plant tagging * Performing flowering inspections

New

$22/hr

Apply XBRL tagging information to financial statements and statement footnotes * Tie-out XBRL ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

New

$22/hr

Apply XBRL tagging information to financial statements and statement footnotes * Tie-out XBRL ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

New

$22/hr

Apply XBRL tagging information to financial statements and statement footnotes * Tie-out XBRL ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

New

$22/hr

Apply XBRL tagging information to financial statements and statement footnotes * Tie-out XBRL ... data is trusted, traceable, and ready to act on. With an unbroken path from source to output ...

New

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Showing results 1-20

Data Tagging information

See Indiana salary details

$52.3K

$94.4K

$128.9K

How much do data tagging jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data tagging in Indiana is $94,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $103,200.00 per year, depending on experience, location, and employer.

What is data tagging?

A Data Tagging job involves labeling or annotating data, such as text, images, audio, or video, to help machine learning models understand patterns and make accurate predictions. Taggers assign relevant metadata, categories, or identifiers to raw data based on predefined guidelines. This process is essential for training AI systems in tasks like image recognition, natural language processing, and content moderation. Attention to detail and consistency are critical in ensuring high-quality, accurate datasets for AI models.

What does a data tagger do?

A typical day for a Data Tagging professional involves reviewing large volumes of data—such as images, video clips, audio, or text—and applying specific labels or annotations according to detailed project guidelines. You’ll likely work with specialized software platforms and may be part of a collaborative team that regularly coordinates to ensure consistency and accuracy. Frequent communication with project managers or data scientists is common to clarify criteria or resolve ambiguities. While the work can be repetitive, it is crucial for the development of AI and machine learning applications, and there are often opportunities to progress into quality assurance, project coordination, or more technical data roles over time.

What skills and qualifications are needed for data tagging?

To excel in a Data Tagging role, attention to detail, consistency, and a basic understanding of data categorization or annotation are essential, often supported by a high school diploma or equivalent. Familiarity with specialized annotation software or data labeling platforms, as well as basic computer literacy, is typically required. Strong time management, communication skills, and the ability to follow detailed instructions help candidates stand out. These abilities ensure that tagged data is accurate, reliable, and ready for use in training machine learning models or improving data-driven processes.

What are the most commonly searched types of Data Tagging jobs in Indiana?

The most popular types of Data Tagging jobs in Indiana are:

What are popular job titles related to Data Tagging jobs in Indiana?

For Data Tagging jobs in Indiana, the most frequently searched job titles are:

Infographic showing various Data Tagging job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,424 per year, or $45.4 per hour.

Metadata Catalog Specialist - Indianapolis - Hybrid

aFit Staffing Inc.

Indianapolis, IN

Full-time

Re-posted 20 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.