micro1 is engaging Data Entry Keyers to contribute to a customer's advanced AI benchmark project. In this role, you will apply your expertise to help train next-generation AI systems by shaping how models learn, reason, and perform through high-quality, real-world input.
Key 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, and spreadsheets filled with realistic errors such as malformed records 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 with numerous criteria for the assessment of AI agent outputs, focusing on accuracy and completeness.
- Ensure all authored tasks mirror the authentic complexity and standards of highly regulated or audit-sensitive environments.
Requirements
- Extensive experience in data entry, quality assurance, or data validation within regulated domains such as healthcare, finance, 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.
What we offer
- Opportunity to work on cutting-edge AI benchmark projects.
- Fully remote work environment with asynchronous collaboration.
- Output-based compensation structure allowing for flexible task management.