Data Entry Keyer | Remote - Contract

Xperteez Technology,
Remote

About The Position

We are engaging Data Entry Keyers to contribute to a customer's advanced AI benchmark project. In this role, you'll apply your expertise to help train next-generation AI systems. 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.

Requirements

  • Accuracy discipline
  • Error detection
  • Format reconciliation
  • Attention to Detail

Nice To Haves

  • 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.
  • Proficient written English, enabling clear drafting of complex evaluation tasks and comprehensive grading rubrics.
  • Exceptional attention to detail and a disciplined, process-oriented work style.
  • Experience contributing to projects with high stakes for compliance, accuracy, or data integrity is highly valued.
  • Comfort working independently and communicating proactively within remote, distributed project environments.

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.
  • Author detailed grading rubrics (35+ criteria) for assessment of AI agent outputs, focusing on both accuracy and completeness in error detection.
  • Ensure all authored tasks mirror the authentic complexity and standards of highly regulated or audit-sensitive environments.
  • Collaborate asynchronously through precise written and verbal communication to iterate and refine evaluation materials.

Benefits

  • Compensation is output-based; experts are paid per task that meets the project specifications.
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