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Metadata Tagging Jobs in Georgia (NOW HIRING)

Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. * Maintain data quality by updating, correcting, or removing outdated ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Experience with automated metadata extraction and AI-driven data tagging * Top Secret clearance * Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Experience with automated metadata extraction and AI-driven data tagging * Top Secret clearance * Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or ...

Data Architect

Warner Robins, GA · On-site

$86K - $198K/yr

Experience with automated metadata extraction and AI-driven data tagging * Top Secret clearance * Master's degree in Computer Science, Data Science, or Information Technology * AWS, Microsoft, or ...

Data Governance & Security • Apply data classification and tagging based on DECAL's data ... and metadata management. Data Modeling: • Dimensional modeling • Real-time data modeling ...

Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. * Maintain data quality by updating, correcting, or removing outdated ...

Senior FinOps Analyst

Alpharetta, GA · On-site

$82K - $109K/yr

Define and enforce tagging and metadata standards required for accurate and complete cost allocation * Establish repeatable FinOps and reporting practices that scale across a global organization

Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. * Maintain data quality by updating, correcting, or removing outdated ...

Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval. * Maintain data quality by updating, correcting, or removing outdated ...

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Metadata Tagging information

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

To thrive as a Metadata Tagging Specialist, you need a solid understanding of information organization, taxonomy standards, and attention to detail, often supported by a degree in library science, information management, or a related field. Familiarity with metadata management tools, content management systems (CMS), and standards like Dublin Core or schema.org is typically required. Strong analytical thinking, organizational skills, and the ability to communicate clearly with content creators make someone stand out in this role. These skills ensure that digital assets are accurately categorized and easily retrievable, enhancing discoverability and workflow efficiency.

What is metadata tagging?

Metadata tagging is the process of assigning descriptive information, or 'tags,' to digital content to make it easier to organize, search, and retrieve. These tags can include keywords, categories, dates, authors, and other relevant data points. Accurate metadata tagging improves the discoverability of content in databases, websites, and digital libraries, supporting better information management. It's a crucial task for industries dealing with large volumes of digital assets, such as media, publishing, and e-commerce.

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

One of the main challenges in metadata tagging is ensuring consistency and accuracy across large volumes of digital assets, especially when multiple team members are involved. Discrepancies can lead to difficulties in asset retrieval and negatively impact workflows. Adopting standardized metadata schemas, using controlled vocabularies, and regularly reviewing tagging practices can help mitigate these issues. Collaboration with content creators and IT teams is also essential to align tagging strategies with organizational goals and technical requirements.
Infographic showing various Metadata Tagging job openings in Georgia as of July 2026, with employment types broken down into 89% Full Time, 5% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Product Data Specialist

Product Data Specialist

LG Electronics

Alpharetta, GA • On-site

Other

Posted 22 days ago


LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

65th of 141 rated electronics manufacturers


Job description

The Opportunity:  Location will be in Alpharetta, GA

  • Ensure consistency and accuracy of data across Product Information Management (PIM) and Digital Asset Management (DAM) systems.
  • Support the RAG (Retrieval-Augmented Generation) database by ensuring documents are properly indexed, retrievable, and aligned with user queries.
  • Manage and organize documents in the database, including submittals, owner manuals, engineering manuals, installation manuals, service manuals, and other relevant technical documents.
  • Review new documents, classify them into appropriate categories, and ensure proper metadata and tagging for efficient retrieval.
  • Maintain data quality by updating, correcting, or removing outdated or inaccurate content in the database.
  • Monitor customer feedback and usage patterns to identify gaps or improvement areas in the database content.
  • Collaborate with technical and support teams to validate document accuracy and relevance.
  • Participate in periodic data quality audits and database optimization reviews.
  • Document processes, changes, and best practices for ongoing database management and continuous improvement.

Qualifications:

  • Bachelor's degree in a relevant field (e.g., Information Management, Engineering, Computer Science, or related discipline), or equivalent education and/or experience.
  • Basic understanding of data management principles, including data accuracy, consistency, and organization.
  • Familiarity with Product Information Management (PIM) or Digital Asset Management (DAM) systems (hands-on experience a plus, not required).
  • Basic experience with databases or structured data, such as using Excel, Google Sheets, or simple database tools.
  • Strong attention to detail and ability to follow detailed instructions.
  • Effective written and verbal communication skills, with the ability to collaborate in a team environment.
  • Proficiency in Microsoft Office (Word, PowerPoint, Excel, Outlook).
  • Strong organizational skills and ability to manage multiple tasks in a fast-paced environment

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