Remote Data Quality Analyst for AI Evaluation

micro1; Northern (KY); Remote; USD 60,000 - 90,000; Full time

Job summary

micro1 seeks a Data Analyst to evaluate AI-related data quality for a customer project. This contract role emphasizes applying domain knowledge to ensure accurate, guideline-conformant data as input for next-gen models.

No AI-specific background required beyond strong analytical skills and meticulous review ability. You'll review datasets, flag inconsistencies, and provide actionable feedback while handling high volumes of data.

Qualifications

• 3–5+ years in data review, data quality, QA or analytical roles.
• Proven ability to critique data or deliverables against explicit criteria.
• Exceptional ability to follow written instructions and apply evaluation rubrics.
• Comfort with ambiguity and making justifiable decisions when guidelines are incomplete.
• High attention to detail and accuracy on high-volume tasks.
• Strong written and verbal communication for documenting findings.

Responsibilities

• Review datasets and task outputs for accuracy and completeness.
• Identify and flag inconsistencies, errors, and deviations from instructions.
• Apply structured rubrics and evaluation criteria consistently across large datasets.
• Document rationale in ambiguous scenarios and escalate recurring issues.
• Provide actionable written and verbal feedback with resolution paths.
• Maintain meticulous attention to detail across repetitive data reviews.

Skills

Data quality

Quality assurance

Analytical

Attention to detail

Written communication

Verbal communication

Tools

SQL

Excel

Job description

micro1 seeks a Data Analyst to evaluate AI-related data quality for a customer project. This contract role emphasizes applying domain knowledge to ensure accurate, guideline-conformant data as input for next-gen models.

No AI-specific background required beyond strong analytical skills and meticulous review ability. You'll review datasets, flag inconsistencies, and provide actionable feedback while handling high volumes of data.