Data Entry Keyer | $20-$35/hr Remote
Overview
A remote contractor role focused on data entry that supports an advanced AI benchmarking project. You’ll craft realistic tasks, assemble and validate large datasets, and establish clear criteria that guide AI learning. Your domain expertise in data accuracy drives the quality of AI models without needing prior AI experience.
What You'll Do5
- 1Create realistic data entry and validation challenges that test AI agents in real world scenarios
- 2Assemble and tidy large datasets including CSVs, PDFs, and spreadsheets with intentional errors and irregular formats
- 3Specify target end results and the exact error cases and reconciliation steps an AI should resolve
- 4Develop detailed grading rubrics with 35+ criteria to assess AI outputs for accuracy and completeness
- 5Ensure tasks reflect the rigor of regulated or audit‑sensitive environments and collaborate asynchronously to refine materials
Requirements5
- 1Demonstrated track record in data entry, quality assurance, or data validation within regulated settings such as healthcare, finance, or legal operations
- 2Proven ability to document and achieve high accuracy with measurable results
- 3Strong ability to spot data inconsistencies, truncations, and formatting irregularities across various file types
- 4Clear written English for drafting complex evaluation tasks and comprehensive rubrics
- 5Meticulous attention to detail and a disciplined, process‑driven work style
Who Should Apply
Ideal candidates are detail‑oriented professionals with experience in high‑stakes data work who can independently create and critique data tasks. You should communicate clearly, thrive in remote collaboration, and bring comfort with regulated data environments.
Salary Insight
Compensation is task‑based; experts are paid for each completed item that meets project specs, with payment dependent on task complexity and throughput.
Location
Required Skills
Application Tip
Share a concise portfolio snippet showing a past data validation or QA task you designed, including a brief description of the accuracy goal and how you measured success.
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