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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 ...

$84K - $111K/yr

... tagging, and AI tool user-attribution expectations * Build, maintain, and iterate dashboards and reporting in Apptio Cloudability, Apptio BI, and Turbonomic, ensuring metric definitions, data quality ...

... Asset Tagging & Data Entry Apply asset tags to tracked devices Capture and align serial numbers with asset tags using Excel or internal tools Upload asset data into systems such as Cherwell ...

Reliability Engineer

Lafayette, IN · On-site

$98K - $124K/yr

Perform data analysis & support maintenance team to improve machine availability. * Lead ... Coach operators and technicians on defect tagging and basic care. Interaction with team : * Daily ...

Lead the implementation of web tracking (pixels, UTMs, server-side tagging) while adhering to global data privacy requirements and cookie consent management. * Evaluate and recommend new technologies ...

Marketing Analytics Manager

Carmel, IN · On-site +1

$100K - $120K/yr

Lead the implementation of web tracking (pixels, UTMs, server-side tagging) while adhering to global data privacy requirements and cookie consent management. * Evaluate and recommend new technologies ...

Controls Engineer

Terre Haute, IN · On-site

$79K - $102K/yr

Configure, maintain, and expand data historians and data collection systems to ensure data quality, tagging standards, accessibility, and business value. * Improve access, visualization, and ...

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Data Tagging information

See Indiana salary details

$52.3K

$94.4K

$128.9K

How much do data tagging jobs pay per year?

As of Jul 21, 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 does a typical day look like for someone working in Data Tagging?

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.

How to make $1000 a week remote?

Data tagging jobs can offer remote work opportunities that, with consistent effort and high-volume tasks, potentially generate around $1000 weekly. Success depends on the number of tasks completed, accuracy, and the pay rate per task, which varies by platform and employer. Building skills in data annotation tools and maintaining quality standards can improve earning potential.

What is a data tagging job?

A data tagging job involves labeling or annotating data such as images, videos, text, or audio to help machine learning models understand and process information. Workers typically use specialized tools to add tags, which can include identifying objects, categorizing content, or transcribing data, often working remotely with flexible schedules.

Is data labelling a good career?

Data tagging is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and familiarity with labeling tools. It can offer steady work and opportunities to develop skills in data management and AI, but typically has limited advancement without additional training or experience. Overall, it can be a suitable starting point for those interested in data-related fields.

What are the key skills and qualifications needed to thrive in the Data Tagging position, and why are they important?

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 is a Data Tagging job?

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.

Do data entry jobs really pay?

Data entry jobs typically pay hourly wages that can range from minimum wage to higher rates depending on experience and complexity of tasks. Many positions offer part-time or flexible schedules, and pay can vary based on the employer, location, and required skills such as typing speed and accuracy.
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person 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

Posted 5 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.