Data Entry Keyer

Skills

About this role

Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Data Validation & Quality Assurance SME

Responsibilities

• Design and produce expert-level evaluation tasks that simulate real-world data entry and validation challenges for AI agents.
• Construct and curate large, complex datasets—including CSVs, PDFs, spreadsheets, and technical documents filled with realistic errors such as malformed records, missing data, and inconsistent formats.
• Define the correct final state for each task, specifying the exact error cases and reconciliation requirements that an AI must address.

Qualifications

• Extensive experience in data entry, quality assurance, or data validation within regulated or audit-sensitive domains such as healthcare claims, finance back office, or legal operations.
• Demonstrated ability to achieve and document high accuracy standards, including measurable error rates and outcomes.
• Strong skills in detecting and analyzing data inconsistencies, silent truncations, and formatting irregularities across diverse file types.