Note: The job is a remote job and is open to candidates in USA. McGraw Hill provides digital and print educational resources and develops learning solutions for educators and learners. The Content Quality Assurance Specialist establishes and enforces quality standards for AI-generated and human-authored course content, reviewing instructional, technical, editorial, accessibility, copyright, and compliance requirements. The role also analyzes quality trends, improves QA frameworks and workflows, and supports accurate, publish-ready content.
Responsibilities
- Designed and executed comprehensive QA review processes for AI-generated and human-authored course content, evaluating accuracy, instructional quality, formatting, accessibility, copyright readiness, and compliance; developed and maintained QA rubrics, checklists, and standards documentation aligned with an evolving AI-first content development model
- Collaborated with the Content Creation Manager to implement quality gates throughout the production pipeline, ensuring defects were identified and resolved prior to publication; maintained and updated quality standards frameworks as AI authoring tools and content delivery mechanisms evolved
- Reviewed content metadata, tagging structures, and topic hierarchy alignment to verify accurate asset classification within the AI content ecosystem and support content discoverability and organizational standards
- Partnered with the Content Data Analyst/Researcher to analyze quality trends, identify recurring error patterns, and drive data-informed improvements to production workflows and overall content quality
- Evaluated AI-generated content for accuracy issues, hallucinations, outdated information, and pedagogical inconsistencies, escalating concerns through appropriate channels; contributed to the continuous improvement of prompt engineering guidelines and AI authoring templates based on QA findings
- Supported accessibility compliance reviews to ensure adherence to relevant standards (e.g., WCAG, Section 508) and documented, tracked, and communicated quality metrics to Pod leadership, providing clear visibility into content quality performance and improvement opportunities
Skills
- Bachelor's degree in Education, English, Instructional Design, or a related field
- 3+ years of experience in content quality assurance, editorial review, or instructional design
- Experience reviewing, auditing, or evaluating AI-generated content, with a strong understanding of common AI content limitations, risks, inaccuracies, hallucinations, and pedagogical inconsistencies
- Strong attention to detail with the ability to assess content across instructional, editorial, and technical dimensions simultaneously, ensuring overall quality, clarity, and instructional effectiveness
- Familiarity with accessibility standards and compliance requirements for digital educational content, including relevant frameworks and best practices
- Experience working in agile production environments, including sprint-based review cycles, with the ability to adapt to iterative workflows and fast-paced content development processes
- Proficiency with content management systems, learning object repositories, or similar platforms, supporting efficient content organization, review, and publishing workflows
- Authorized to work for any employer within the United States
- Preferably within higher education, EdTech, or digital publishing environments
Benefits
- A full range of medical and/or other benefits may be provided, depending on the position offered.
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