ZipRecruiter

Log In

1

Metadata Assistant Jobs in Indiana (NOW HIRING)

SME

Reality Capture Technician

Fort Wayne, IN · On-site

Maintain clear documentation of field activities, scan locations, control usage, and project metadata. * Assist with internal training related to equipment operation and data handling. * Support ...

Amatriot Group, LLC

Data Scientist

Crane, IN · On-site

$80K - $95K/yr

... support to assist our government customer with the collection of Live Imagery Products for ... Define metadata requirements and schemas to support the complex labeling of military motion imagery ...

next page

Showing results 1-20

All JobsMetadata JobsMetadata Assistant JobsMetadata Assistant Jobs in Indiana

Metadata Assistant information

See Indiana salary details

$7

$19

$36

How much do metadata assistant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for metadata assistant in Indiana is $19.59, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $21.49 per hour, depending on experience, location, and employer.

What is a metadata assistant?

Metadata Assistants are professionals who support the organization, management, and maintenance of metadata in libraries, archives, museums, or digital collections. Their primary role involves creating, editing, and ensuring the accuracy of metadata records, which helps users locate and access resources efficiently. They may also assist with data entry, quality control, and the application of cataloging standards. Metadata Assistants work closely with librarians, archivists, and other information professionals to maintain high-quality information systems.

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

To thrive as a Metadata Assistant, you need a detail-oriented mindset, familiarity with metadata standards, and a background in library science or information management. Experience with cataloging systems, library management software, and knowledge of standards such as MARC or Dublin Core is commonly required. Strong organizational skills, accuracy, and effective communication help you excel in updating and maintaining metadata records. These skills ensure the accurate organization, retrieval, and accessibility of digital and physical information resources.

What are some common challenges faced by metadata assistants, and how can they be addressed?

Metadata Assistants often encounter challenges such as ensuring data accuracy, maintaining consistency across different cataloging standards, and managing large volumes of information. Staying up-to-date with changing metadata standards and mastering various database systems can also be demanding. To address these challenges, it’s helpful to participate in ongoing professional development, collaborate closely with catalogers and IT staff, and utilize quality control tools to regularly audit and correct metadata entries. Building strong communication skills and being detail-oriented are key assets in this role.

What is the difference between Metadata Assistant vs Data Entry Clerk?

AspectMetadata AssistantData Entry Clerk
Required SkillsKnowledge of metadata standards, attention to detail, basic database skillsTyping accuracy, data input, basic computer skills
Work EnvironmentLibraries, archives, digital repositoriesOffices, administrative settings
CertificationsOften none, but familiarity with cataloging standards helpsNone typically required
Industry UsageLibraries, museums, digital asset managementVarious industries, administrative roles

The main difference is that Metadata Assistants focus on organizing and maintaining digital or physical metadata to improve asset retrieval, while Data Entry Clerks primarily input and manage data accuracy in databases. Metadata Assistants require knowledge of metadata standards and work in specialized environments, whereas Data Entry Clerks perform general data input tasks across various industries.

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

The most popular types of Metadata jobs in Indiana are:

What are popular job titles related to Metadata Assistant jobs in Indiana?

For Metadata Assistant jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Metadata Assistant jobs in Indiana look for?

The top searched job categories for Metadata Assistant jobs in Indiana are:

What cities in Indiana are hiring for Metadata Assistant jobs?

Cities in Indiana with the most Metadata Assistant job openings:

Metadata Assistant jobs near you
Infographic showing various Metadata Assistant job openings in Indiana as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,745 per year, or $19.6 per hour.

Metadata Catalog Specialist - Indianapolis - Hybrid

aFit Staffing Inc.

Indianapolis, IN • On-site

Full-time

Re-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. 


Apply