Research Quality Analyst

About the Role:

As the Research Quality Analyst on the Directed Content (DC) team, you will provide quality control across a continuous, high-volume research pipeline. This role uses sampling across the project lifecycle to catch quality issues, identify patterns, and drive improvements to process and AI prompting that raise the overall quality and consistency of DC's research output. You will be a key player in ensuring that our research is accurate, consistent, and valuable to our clients. This position offers an opportunity to develop expertise in AI-powered research and to contribute to refining workflows that generate trackable, high-quality insights.

What You’ll Do:

• Sample and review research projects at multiple stages — prompt sheets, knowledge bases, and published expert transcripts — to catch quality issues both before and after publication.
• Identify patterns in quality driven by process gaps or issues.
• Test and help deploy process and prompt fixes that address those patterns, so quality review becomes faster and narrower in scope over time.
• Assist in refining and iterating on AI prompts.
• Help develop and maintain QA checklists and documentation, standardizing quality practices.
• Track and analyze quality metrics, reporting on trends, and recommending process improvements.
• Support testing of new AI-driven tools and workflows as they're introduced to Directed Content.

Who You Are:

• You have 1–3 years of experience in a role focused on quality assurance, content review, copy editing, research, or data analysis.
• You possess an exceptional eye for detail and a commitment to producing high-quality work.
• You are highly analytical and intellectually curious, with the ability to quickly understand new concepts and identify inconsistencies in data and text.
• You have excellent written and verbal communication skills, with experience editing and proofreading professional documents.
• You are comfortable working collaboratively in a fast-paced, cross-functional environment.
• You have a strong interest in technology and artificial intelligence; experience with AI or large language models is a significant plus.