Data Analyst (AI Evaluation)

micro1 Inc.; United States; Remote; USD 55,000 - 96,000; Full time

Job summary

micro1 Inc. is seeking a Data Analyst (AI Evaluation) on a remote contractor basis to support a customer data quality project. You will review data, apply detailed rubrics, and provide actionable feedback to improve AI training data.

The ideal candidate has 3–5+ years in data review or QA, strong attention to detail, and excellent written/verbal communication. Familiarity with SQL and spreadsheets is a plus, with the work conducted remotely from the US-based environment.

Qualifications

• 3–5+ years in data review, data quality, QA, or analytics roles.
• Ability to follow detailed written instructions and apply evaluation rubrics.
• Comfort with ambiguity and justifiable decision-making when guidelines are unclear.
• Strong written and verbal communication for documenting findings.

Responsibilities

• Review datasets and outputs for accuracy, completeness, and adherence to guidelines.
• Identify and flag inconsistencies, errors, and outputs deviating from instructions.
• Apply structured rubrics and evaluation criteria across large data sets.
• Escalate patterns or recurring data issues for further analysis.
• Provide clear, actionable written and verbal feedback with resolution paths.
• Maintain meticulous attention to detail through high volumes of repetitive reviews.

Skills

Data quality

Attention to detail

Written communication

SQL or data querying

Spreadsheet skills

Tools

SQL

Spreadsheet tools

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.