Data Analyst

Role Title: Data Analyst
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

- 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.

Originally posted on Himalayas