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Remote Metadata Specialist Jobs (NOW HIRING)

$40/hr

Voice Recording Specialist $40-120/hr Remote Freelance AUDIO About the Role What if your voice ... Complete metadata forms that describe and categorize each recording session * Participate in both ...

Geospatial Specialist

Sioux Falls, SD · On-site +1

$56.70K - $68.60K/yr

The TSSC Team is comprised of highly talented remote sensing scientists, land cover scientists ... Capture metadata * Execute quality assurance/quality control reviews and resolution * Generate ...

This is a fully remote, flexible contract role. No voice acting experience or audio background ... Complete metadata forms describing the context and characteristics of each recording * Participate ...

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Remote Metadata Specialist information

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How much do remote metadata specialist jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote metadata specialist in the United States is $20.74, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.60 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Metadata Specialist, you need strong attention to detail, expertise in data organization, and typically a background in information science or library science. Familiarity with metadata standards (such as Dublin Core or MARC), cataloging systems, and database management tools is usually required. Excellent analytical thinking, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills ensure accurate data classification, efficient information retrieval, and effective collaboration across distributed teams.

What does a typical workday look like for a Remote Metadata Specialist, and how do they collaborate with other teams?

A typical workday for a Remote Metadata Specialist involves reviewing, creating, and updating metadata for digital assets to ensure they are accurately cataloged and easily searchable. You may work with centralized databases, utilize specialized software, and communicate frequently with content creators, librarians, or IT professionals to resolve discrepancies and maintain data integrity. Collaboration is often done virtually via email, video calls, and project management platforms, making strong communication skills essential. While most tasks are independent, you'll regularly coordinate with teammates and other departments to align metadata standards and project timelines.

What are Remote Metadata Specialists?

Remote Metadata Specialists are professionals who manage, organize, and maintain metadata for digital assets, such as documents, images, video, and audio files, while working from a remote location. They ensure that digital resources are properly described and categorized to enhance searchability and accessibility. Their work often involves using metadata standards, collaborating with other teams, and utilizing specialized software to keep digital collections well-structured and easy to retrieve.

What is the difference between Remote Metadata Specialist vs Remote Data Analyst?

AspectRemote Metadata SpecialistRemote Data Analyst
Required CredentialsBachelor's in Library Science, Information Management, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentDigital libraries, content management systems, online repositoriesBusiness intelligence platforms, data visualization tools, databases
Employer & Industry UsageLibraries, publishing, digital content providersFinance, marketing, healthcare, tech companies
Common Search & ComparisonMetadata management, digital content organizationData analysis, data reporting

The Remote Metadata Specialist primarily focuses on organizing and managing digital content metadata to ensure accurate retrieval and classification. In contrast, the Remote Data Analyst interprets data sets to provide insights and support decision-making. While both roles require analytical skills, the Metadata Specialist emphasizes content standards and information organization, whereas the Data Analyst concentrates on data interpretation and reporting.

More about Remote Metadata Specialist jobs
What cities are hiring for Remote Metadata Specialist jobs? Cities with the most Remote Metadata Specialist job openings:
What are the most commonly searched types of Metadata Specialist jobs? The most popular types of Metadata Specialist jobs are:
What states have the most Remote Metadata Specialist jobs? States with the most job openings for Remote Metadata Specialist jobs include:
Infographic showing various Remote Metadata Specialist job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $43,142 per year, or $20.7 per hour.
Lead Metadata Specialist

Lead Metadata Specialist

McGraw-Hill Education

Manhattan, NY • Remote

$125K - $155K/yr

Other

This job post has expired today. Applications are no longer accepted.


McGraw Hill rating

8.0

Company rating: 8.0 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

8th of 17 rated publishing


Job description

Overview

Build the Future
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being.

How can you make an impact?

We are seeking a Lead Metadata Specialist to guide metadata strategy and implementation across McGraw Hill's Higher Education business unit. This role leads projects that advance the design, management, and use of educational metadata-especially around competencies, objectives and assessment and other types of content-to improve discoverability, personalization, and analytics across products and platforms.

The Lead Metadata Specialist will collaborate with curriculum, product, and technical teams to ensure alignment across metadata workflows and business goals. This role also provides mentorship and leadership for metadata specialists and coordinates with the Enterprise Metadata team to support enterprise-level initiatives.

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

What You'll Do:

  • Lead the design and execution of metadata projects that enhance the creation, delivery, and management of higher education content while also enabling robust personalized learning services to discover and use relevant content for students and instructors.
  • Partner with learning and data scientists to explore opportunities for metadata inference and enrichment to support adaptive learning and personalization.
  • Develop and maintain learning ontologies and controlled vocabularies for higher education academic disciplines, content, and learning services.
  • Collaborate with curriculum, product, and technical teams to define metadata strategies that align with business unit goals and emerging learning technology trends.
  • Provide technical leadership in implementing scalable metadata workflows and quality assurance processes using standard tools and platforms.
  • Lead and Collaborate with Metadata Specialists, fostering consistency, capacity and growth across metadata initiatives.
  • Collaborate cross-functionally to develop documentation, training materials, and communications that promote understanding and effective use of metadata across design and product teams.
  • Monitor external developments in metadata standards and best practices for higher education and integrate relevant frameworks to ensure alignment and innovation.

Who You Are:

  • 6+ years in education or educational technology, with at least 3 years direct experience managing educational metadata, learning objective frameworks, and/or competency structures in Higher Education.
  • Master's degree in education, learning sciences, information science, or a related field (required or equivalent experience).
  • Advanced understanding of metadata standards and interoperability frameworks used in Higher Education.
  • Experience with e-book, assessment, and other educational content design for Higher Education.
  • Highly organized, self-motivated, able to manage multiple complex projects simultaneously.
  • Strong leadership and mentoring capabilities.
  • Growth mindset and openness to change, with a positive attitude and interest in improving over time.
  • Excellent communication skills, able to bridge technical and non-technical audiences.

Preferred:

  • Experience working with AI tools and awareness of their potential for educational content and interactions.
  • Experience designing and implementing educational recommendation systems.
  • Proficiency with collaboration and project tools such as JIRA, Confluence, Teams, and Slack.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively building experiences that will help shape the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $125,000 - $155,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com" email address 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.

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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.


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