Data Analyst (AI Evaluation)

Overview

micro1 is engaging Data Analysts for a customer's data quality project focused on training AI systems. You'll review datasets and model outputs for accuracy and adherence to guidelines, identifying errors and inconsistencies that affect how AI systems learn.

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 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

• Data analysis
• Data review
• Attention to detail
• Handling ambiguity
• Error spotting
• 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
• Ability to follow detailed written instructions and apply complex evaluation rubrics precisely
• Comfort with ambiguity and making justifiable decisions when guidelines are incomplete
• Strong written and verbal communication skills
• Baseline fluency with spreadsheets (sorting, filtering, simple formulas)