Job Description

Data Analyst (Contractor, Remote - United States)

Client: Confidential Openings: 30 Compensation: $30-$60 per hour

About the Opportunity

We are seeking experienced, detail-oriented Data Analysts to support a confidential client’s data-quality initiative focused on improving and evaluating data used in next-generation AI systems. Prior AI/ML experience is not required.

Key Responsibilities

• Review datasets and detailed task outputs for accuracy, completeness, consistency, and adherence to guidelines.
• Identify and flag inconsistencies, inaccuracies, errors, and non-compliant outputs.
• Apply structured rubrics, evaluation frameworks, and quality criteria across large datasets.
• Analyze ambiguous cases and exercise sound, evidence-based judgment.
• Document findings, observations, and rationale clearly.
• Provide actionable written and verbal feedback on identified issues.
• Identify recurring or systemic data-quality issues and escalate patterns.
• Maintain accuracy and consistency in high-volume, repetitive review work.
• Collaborate with stakeholders to clarify requirements and resolve concerns.
• Maintain confidentiality and follow project-specific processes.

Required Qualifications

• 3-5+ years of professional experience in data analysis, data quality, QA, business analysis, operations analysis, or a related analytical function.
• Demonstrated experience reviewing, validating, analyzing, or quality-checking data.
• Strong attention to detail, analytical skills, and critical-thinking skills.
• Ability to interpret detailed instructions and apply complex criteria consistently.
• Strong written and verbal communication skills.
• Comfort working with large data volumes and repetitive review processes.
• Working knowledge of spreadsheets, including sorting, filtering, and basic formulas.
• Ability to work independently in a remote environment.

Preferred Qualifications

• SQL or data-querying experience.
• Experience with Power BI, Tableau, or other data-visualization tools.
• Experience with data annotation, labeling, validation, or evaluation.
• Experience in data quality, data governance, or QA/QC.
• Experience evaluating AI-generated content, model outputs, or LLM responses.

Relevant Backgrounds

Relevant backgrounds include Data Analyst, Data Quality Analyst, Data Validation Analyst, Data Review Analyst, Data QA Analyst, Business Analyst, Operations Analyst, Reporting Analyst, Quality Analyst, Research Analyst, Data Annotation Specialist, and AI Data Evaluator.

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