Data Entry Keyer for AI Benchmarking and Validation
Overview
A remote contractor role focused on data entry for an AI benchmark project. You will craft realistic, high-quality evaluation tasks and assemble large datasets like CSVs, PDFs, and spreadsheets that include deliberate errors. Your work will define how AI systems learn to detect and correct data issues, with an emphasis on accuracy in regulated or audit-sensitive contexts. Prior AI experience isn’t required; your domain expertise in data entry and validation is what matters. Bolded areas highlight key domains like data entry and quality assurance.
What You'll Do6
- 1Design expert evaluation tasks that mimic real-world data entry and validation challenges for AI agents
- 2Build and curate large datasets in formats such as CSVs, PDFs, and spreadsheets that include realistic errors
- 3Specify the correct end state for each task, detailing error cases and reconciliation steps for AI to address
- 4Create detailed grading rubrics with 35+ criteria to assess AI outputs on accuracy and completeness
- 5Ensure tasks reflect the complexity and standards found in regulated or audit-conscious settings
- 6Collaborate asynchronously with precise written and spoken communication to refine materials
Requirements7
- 1Extensive data entry, QA, or data validation experience in regulated sectors (healthcare claims, finance back office, or legal operations)
- 2Proven ability to document high accuracy with measurable error rates and outcomes
- 3Strong skill in spotting data inconsistencies, truncations, and formatting issues across various file types
- 4Clear written English for drafting complex evaluation tasks and grading rubrics
- 5Exceptional attention to detail and a disciplined, process-driven work approach
- 6Experience contributing to high-stakes compliance or data integrity projects (preferred)
- 7Ability to work independently and communicate proactively in a remote, distributed team
Who Should Apply
The ideal candidate brings deep data entry and validation experience within regulated environments and can demonstrate high accuracy with concrete metrics. If your background focuses on general data handling without exposure to audits or compliance, this role may be less suitable. People who struggle with documenting processes or prioritizing precise standards may not fit well. Common rejections stem from a lack of experience in regulated domains or insufficient ability to articulate complex evaluation criteria. The role rewards meticulous task design and proactive remote collaboration.
Salary Insight
Pay is task-based and varies by project requirements; compensation details are discussed after selection. No fixed salary is listed here.
Location
Required Skills
Application Tip
Highlight a specific example where your meticulous data validation reduced errors by a measurable amount and describe how you designed evaluation criteria for accuracy and completeness.
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How your application is processed
1Application received
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2ATS + eligibility screening
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