AI Data Quality Analyst

DataXWorks; Chennai District; Hybrid; INR 600,000 - 900,000; Full time

Job summary

DataXWorks is seeking an AI Data Quality Analyst to support dataset validation, quality assurance, and data readiness for enterprise AI and machine learning projects. This role focuses on ensuring that AI datasets are accurate, consistent, complete, and ready for model training, evaluation, and production use.

The position requires 6-10 years of experience, is full-time, and based in Chennai with a hybrid work model.

Qualifications

• 2+ years of experience in data quality, data QA, or data operations.
• Strong attention to detail and analytical thinking.
• Experience with structured and unstructured datasets.
• Familiarity with Excel, Google Sheets, and SQL is preferred.
• Good communication and documentation skills.

Responsibilities

• Review AI datasets for quality, accuracy, consistency, completeness, and usability.
• Identify data gaps, duplicate records, formatting issues, labeling errors, and quality risks.
• Validate datasets against project requirements, schemas, guidelines, and business rules.
• Work with annotation, enrichment, and project teams to resolve data quality issues.
• Support dataset QA reports, error analysis, and quality improvement tracking.
• Assist in building data quality checklists, review frameworks, and validation workflows.
• Escalate data anomalies, edge cases, and compliance-sensitive issues.

Skills

Attention to detail

Analytical thinking

Data analysis

Communication

Tools

Excel

Google Sheets

SQL

Job description

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Job Details

AI Data Quality Analyst

Location Chennai / Hybrid

Experience 6-10 Years

Employment Type Full-Time

Role Summary

DataXWorks is hiring an AI Data Quality Analyst to support dataset validation, quality assurance, and data readiness for enterprise AI and machine learning projects. This role focuses on ensuring that AI datasets are accurate, consistent, complete, and ready for model training, evaluation, and production use.

Key Responsibilities

• Review AI datasets for quality, accuracy, consistency, completeness, and usability.
• Identify data gaps, duplicate records, formatting issues, labeling errors, and quality risks.
• Validate datasets against project requirements, schemas, guidelines, and business rules.
• Work with annotation, enrichment, and project teams to resolve data quality issues.
• Support dataset QA reports, error analysis, and quality improvement tracking.
• Assist in building data quality checklists, review frameworks, and validation workflows.
• Escalate data anomalies, edge cases, and compliance-sensitive issues.

Required Skills & Experience

• 2+ years of experience in data quality, data QA, data annotation QA, data validation, or data operations.
• Strong attention to detail and analytical thinking.
• Ability to work with structured and unstructured datasets.
• Basic understanding of AI/ML datasets, training data, or model validation workflows.
• Familiarity with Excel, Google Sheets, SQL, or data review tools is preferred.
• Good communication and documentation skills.

Why Join DataXWorks?

You will support the quality layer behind enterprise AI systems by helping teams build reliable and production-ready datasets.