Micro1 review · AI Training & Data Labeling

Data Analyst (AI Evaluation) — micro1

Data quality evaluation
Pay
$30–$60 per hour
Location
Remote · United States
Posted
Sep 29

What the work involves

micro1 is engaging Data Analysts to contribute their knowledge and expertise to a customer's data quality project. No prior AI experience is required — your domain knowledge is what matters, and your work shapes how models learn, reason, and perform through high-quality, real-world input. The role is contractor-based and remote, limited to candidates based in the United States.

The work is disciplined, rubric-driven review: you'll assess datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines; flag inconsistencies and errors; apply evaluation criteria consistently across large data sets; document your reasoning where guidelines are ambiguous; escalate recurring data issues rather than fixing one-offs; and deliver clear, actionable feedback — all while sustaining meticulous attention to detail across high-volume, repetitive assignments.

What you'll do

  • Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines
  • Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions
  • Apply structured rubrics and evaluation criteria consistently across large data sets
  • Exercise sound judgment and document your rationale in ambiguous scenarios where guidelines are unclear
  • Escalate patterns or recurring data issues for further analysis rather than addressing them individually
  • Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths
  • Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments

Requirements & eligibility

  • 3–5+ years of experience in data review, data quality, quality assurance, or analytical roles
  • Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria
  • Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely
  • Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete
  • Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work
  • Strong written and verbal communication skills for documenting findings and providing feedback
  • Baseline fluency with spreadsheets (sorting, filtering, simple formulas) — SQL or hands-on data querying is a plus
  • Experience with data annotation, labeling, or rubric-based evaluation is advantageous
  • Physically based in the United States

How to apply

Applications go directly to micro1. Read their terms before you sign up — and if anything feels off, run the scam check below first.

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