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Data Analyst (AI Evaluation)

Remote — United States

Data analysisData reviewAttention to detailHandling ambiguityError spotting

About the role

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

Scope of Work

  • 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.

Preferred Qualifications

  • 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.

Benefits

Not provided in the source listing.

Where you can work

This role is open to people based in: United States.

Remote does not always mean work from any country. Always check the employer’s location and working-hour requirements.

BEYOND THE JOB DESCRIPTION

Step inside the Role Room.

Explore the working day, published expectations, and an optional reflection.