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Metadata Tagging Jobs in Kentucky (NOW HIRING)

Centellic

Product Delivery Manager

Erlanger, KY · On-site

$70K - $75K/yr

Experience working on initiatives involving content and data ingestion, tagging and metadata management, workflow optimisation, cross-system integrations, or AI-enabled processes would be beneficial ...

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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.
Metadata Tagging jobs near you
Infographic showing various Metadata Tagging job openings in Kentucky as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Instructional Design Program Manager

Relativity

Louisville, KY • On-site

Other

Posted 26 days ago

Job description

Posting Type

Remote

Job Overview

The Instructional Design Program Manager is a senior practitioner who designs, scales, and continuously improves learning programs that drive customer adoption, accelerate time-to-value, and deliver measurable business impact. This role is for someone who applies generative AI and agentic workflows as practical tools in how learning gets built, personalized, and improved-not just experimentation.
At this level, you operate at the intersection of learning strategy, AI-augmented development, and program execution. You bring a strong point of view on instructional design practice, contribute to where the function is going, and apply that thinking consistently in your work.

Job Description and Requirements

Program and Strategic Leadership

  • Own one or more instructional design programs or portfolios from intake through measurement and iteration, treating them as living systems rather than project deliverables.

  • Translate business priorities into outcome-based learning strategies with clear roadmaps and defined success metrics tied to adoption, efficiency, and customer impact.

  • Use AI-assisted data synthesis, learner signals, and performance analytics to make faster, better-informed trade-off recommendations across scope, timeline, and resources.

  • Identifyand surface opportunities to expand program value through intelligent content reuse, automated personalization, and adaptive delivery.

AI-Augmented Design and Systems Thinking

  • Build learning programs with generative AI as a corecomponent, applying LLM-assisted content development, automated localization, intelligent content refresh, and AI-driven quality review as standard practice.

  • Design and implement agentic workflows that reduce manual effort in content creation, SME review cycles, translation, accessibility remediation, and learner support.

  • Build modular, prompt-driven content systems where generative AI can extend, update, and personalize assets at scale without proportional human effort.

  • Evaluate emerging AI tools, agents, and platforms and provide recommendations using a clear framework for responsible use, output quality, andbiasmitigation.

  • Apply and uphold governance practices for AI-generated learning content, includingreviewcheckpoints, accuracy standards, and transparency with learners.

Instructional Design Leadership

  • Advance modern instructional design practice, including AI-assisted authoring, dynamic content models, and agent-supported learner experiences such as on-demand coaching, simulated practice, and intelligent job aids.

  • Ensure all learning solutions are workflow-aligned, outcome-oriented, and designed for real customer contexts rather than generic skill coverage.

  • Apply and help evolve design standards that improve quality, efficiency, and reuse, and that are compatible with AI-assisted development pipelines.

  • Review and provide input on high-impact learning solutions to ensure they are scalable, effective, and responsibly built.

  • Mentor instructional designers on prompt engineering, AI toolselection, responsible generation practices, and the evolving boundaries of human vs. AI authorship.

Execution and Delivery

  • Lead the shift from manual, course-based production to AI-assisted, modular, continuously evolving learning ecosystems within your program portfolio.

  • Use agentic tools to automate repeatable tasks: content audits, gap analysis, metadata tagging, assessment generation, and personalization logic.

  • Improve discoverability and learner experience through AI-powered content recommendations, adaptive learning paths, and conversational learning interfaces.

  • Partner with subject matter experts using AI-assisted interview and synthesis workflows to accelerate knowledge capture without sacrificing depth or accuracy.

  • Use learner behavior data,completionsignals, and AI-generated insights to continuously refine programs.

Stakeholder Partnership and Influence

  • Partner cross-functionally to align learning investment to business priorities, with a clear AI strategy narrative for senior audiences.

  • Provide well-reasoned recommendations on what gets built, how it is delivered, and where AI can close gaps faster than traditional development.

  • Serve as atrustedvoice on the responsible use of generative AI in learning, including what it can and cannot do well, and how to communicate that to stakeholders and learners.

  • Representthe Customer Education function as a driver of adoption, efficiency, and growth.

Qualifications and Experience

  • Deepexpertisein instructional design, adult learning theory, and assessment, applied at a program or portfolio level.

  • Demonstrated hands-on experience using generative AI tools (such as Claude, ChatGPT, Gemini, or similar) in real instructional design workflows, not just experimentation.

  • Experience designing or implementing agentic workflows that automate meaningful parts of the content development or learner support lifecycle.

  • Strong ability to connect learning programs to business outcomes and evaluate ROI with rigor.

  • Track recordof improving scalability, efficiency, or innovation in learning programs through systems thinking.

  • Excellent communication and stakeholder management skills, including the ability to present AI strategy and responsible use clearlytosenior leaders.

  • Proven ability to mentor instructional designers on both craft and emerging technology.

  • Strong program management skills: prioritization, risk management, and delivery in fast-moving environments.

  • Proficiencywith LMS platforms, modern authoring tools, and AI-powered content development platforms.

  • Comfortoperatingin ambiguity and evolving practice as the technology landscape shifts.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$92,000 and $138,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Adult Learning Theory, Content Development, Curriculum Development, Instructional Design, Learning Management, Learning Management Systems (LMS), Learning Theory, Performance Improvements, Program Management, Training Delivery

Apply