AI Data Quality Analyst (Human-in-the-Loop)

📋 Description

• Review AI-extracted data from insurance submissions for accuracy.
• Compare extracted fields to source documents and fix data.
• Act as a quality gate for AI outputs meeting underwriting requirements.
• Log issues and edge cases with clear steps using Jira or similar.
• Identify patterns behind extraction errors and define requirements.
• Collaborate with architects, data engineers, and analysts to refine rules.

🎯 Requirements

• 3+ years in a data-intensive role (analyst, QA, or similar).
• Strong attention to detail and systematic data review.
• Excellent analytical skills; trace issues to root causes.
• Write clear, structured tickets and requirements.
• Experience with issue-tracking tools (Jira, Azure DevOps).
• Strong written English for documenting findings.

🎁 Benefits

• Exposure to AI systems (LLMs) and document processing.
• Collaborative, globally distributed team.
• Opportunity to impact data quality and models.