Content QA Specialist

McGraw Hill LLC. • UNAVAILABLE, UNAVAILABLE

32d • Remote

About The Position

McGraw Hill Higher Education is seeking a Content Quality Assurance Specialist to establish and enforce quality standards for AI-generated and human-reviewed content within the Curriculum Pod. This role is crucial for ensuring courseware meets instructional, technical, editorial, and compliance standards as the organization adopts AI-powered content development. The specialist will adapt quality frameworks to address AI-specific challenges like accuracy, academic integrity, pedagogical soundness, and brand alignment. This is a remote position open to applicants authorized to work for any employer within the United States.

Requirements

• 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, preferably within higher education, EdTech, or digital publishing environments.
• 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.

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).
• Documented, tracked, and communicated quality metrics to Pod leadership, providing clear visibility into content quality performance and improvement opportunities.

Benefits

• A full range of medical and/or other benefits may be provided, depending on the position offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level