Edtech.com's Summary

McGraw Hill LLC. is hiring a Metadata Specialist to support its K–12 literacy and social studies programs within a digital learning ecosystem. The role involves collaborating with cross-functional teams to design, organize, and govern educational metadata, ensuring alignment with instructional and assessment standards, and enhancing personalization and learning analytics.

Highlights

Collaborate with K–12 literacy and social studies curriculum, product, and data science teams to align metadata with instructional models and features.
Maintain metadata quality and ensure consistent, reliable use across various content types and platforms.
Develop, test, and refine metadata models and automated tagging workflows to improve discoverability and data analytics.
Research and implement metadata practices and interoperability models in educational technology.
Document metadata models, governance processes, and usage guidelines for cross-functional alignment.
Requires 5+ years in education or educational technology, including 3+ years with K–12 literacy and social studies standards.
Strong knowledge of K–12 instructional frameworks and standards such as CCSS-ELA and NCSS.
Experience with metadata tagging, modeling, taxonomy design, and educational data systems using spreadsheets, databases, or scripting/query languages.
Skilled in analyzing complex educational data and ensuring metadata quality across platforms.
Excellent communication and collaboration skills to bridge educational and technical teams.
Familiarity with metadata standards (e.g., CASE, 1EdTech), LMS integrations, AI-assisted learning tools, and collaboration platforms such as JIRA, Confluence, and Teams.
Position is remote and open to applicants authorized to work within the United States.
Compensation range is $110,000 to $120,000 annually, with benefits available depending on position.

Metadata Specialist Full Description

Overview

Impact the Moment:

McGraw Hill is a diverse and inclusive company that believes we can change the world by leveling the playing field and giving every learner an equal opportunity to succeed. We create best-in-class, next-generation learning platforms that are used by millions of students and educators worldwide. Our goal is to accelerate student success through intuitive and effective learning experiences, and to continually reimagine the way our customers teach and learn, simplifying the path to a better education for all.

How can you make an impact?

We are seeking a Metadata Specialist with expertise in K-12 education and a solid understanding of literacy and social studies standards, competencies, learning progressions and assessment models. This role supports the design, organization, and governance of educational metadata that underpins McGraw Hill's K-12 literacy and social studies programs within our digital learning ecosystem. The Metadata Specialist will collaborate with curriculum, assessment, data science, and product teams to ensure metadata structures effectively support instructional and assessment alignment, personalization, and learning analytics across products and assessments. Success in this role requires strong communication skills, attention to detail, and the ability to bridge educational and technical perspectives.

This position plays a key role in maintaining metadata quality, implementing consistent taxonomies and tagging standards, and contributing to the development of data-informed and algorithmically driven learning experiences that enhance teaching, assessment, and student engagement.

This is a remote position open to applicants authorized to work for any employer within the United States.

What you will be doing:

Collaborate with K-12 literacy and social studies curriculum, product, and data science teams to understand metadata needs and align metadata usage with instructional models, instructional and assessment content, and personalization features.
Establish and support metadata quality and its consistent, reliable use with a range of content types; monitor data completeness and accuracy across platforms and systems.
Develop, test, and refine structured metadata models and automated tagging workflows that enhance discoverability, personalization, and data analytics.
Research and apply existing and emerging metadata practices and interoperability models used across educational technology.
Develop and maintain clear documentation for metadata models, governance processes, and usage guidelines to ensure cross-functional alignment.

What you can bring to this role:

5+ years in education or educational technology, with 3+ years designing or managing K-12 literacy and social studies standards and related content.
Strong understanding of K-12 instructional frameworks, learning progressions, and state/national standards such as CCSS-ELA and NCSS.
Hands-on experience with content-metadata tagging, metadata modeling, taxonomy design, and/or educational data systems, using tools like spreadsheets, databases, or scripting/query languages.
Skills in analyzing and organizing complex educational data, ensuring metadata quality and alignment across platforms.
Excellent communication and collaboration skills, with the ability to translate between educational, technical, and product-focused teams.
Familiarity with metadata standards (e.g., CASE, 1EdTech), LMS integrations, AI-assisted learning tools, and collaboration platforms such as JIRA, Confluence, and Teams.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfillment that will inspire you to even greater heights.

The pay range for this position is between $110,00-$120,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location. Additionally, a full range of medical and/or other benefits may be provided, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com" or "@careers.mheducation.com" email addresses and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email. 49992

McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.

Original Job Description

Overview

Impact the Moment:

How can you make an impact?

This is a remote position open to applicants authorized to work for any employer within the United States.

What you will be doing:

Collaborate with K-12 literacy and social studies curriculum, product, and data science teams to understand metadata needs and align metadata usage with instructional models, instructional and assessment content, and personalization features.
Establish and support metadata quality and its consistent, reliable use with a range of content types; monitor data completeness and accuracy across platforms and systems.
Develop, test, and refine structured metadata models and automated tagging workflows that enhance discoverability, personalization, and data analytics.
Research and apply existing and emerging metadata practices and interoperability models used across educational technology.
Develop and maintain clear documentation for metadata models, governance processes, and usage guidelines to ensure cross-functional alignment.

What you can bring to this role:

5+ years in education or educational technology, with 3+ years designing or managing K-12 literacy and social studies standards and related content.
Strong understanding of K-12 instructional frameworks, learning progressions, and state/national standards such as CCSS-ELA and NCSS.
Hands-on experience with content-metadata tagging, metadata modeling, taxonomy design, and/or educational data systems, using tools like spreadsheets, databases, or scripting/query languages.
Skills in analyzing and organizing complex educational data, ensuring metadata quality and alignment across platforms.
Excellent communication and collaboration skills, with the ability to translate between educational, technical, and product-focused teams.
Familiarity with metadata standards (e.g., CASE, 1EdTech), LMS integrations, AI-assisted learning tools, and collaboration platforms such as JIRA, Confluence, and Teams.

Why work for us?

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Edtech.com's Summary

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