This is a fully remote position, open to candidates based in Mexico.
Pay: $20–$35/hr
Role Title: Data Entry Keyer
Role Type: Contractor
Location: Remote
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.
Scope of Work
- 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.

Preferred 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.
- Proficient written English, enabling clear drafting of complex evaluation tasks and comprehensive grading rubrics.
- Exceptional att

📌 Data Entry Keyer (México)
🏢 RemoteJobsOne
📍 México