Data Analyst (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

Role Title: Data Analyst (AI Evaluation)

Role Type: Contractor

Location: Remote, US-based.

micro1 is engaging Data Analysts to contribute their knowledge and expertise to a customer’s data quality project. In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

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

Preferred Qualifications

1. 3–5+ years of experience in data review, data quality, quality assurance, or analytical roles.
2. Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria.
3. Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely.
4. Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete.
5. Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work.
6. Strong written and verbal communication skills for documenting findings and providing feedback.
7. Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus.
8. Experience with data annotation, labeling, or rubric-based evaluation is advantageous.