Data Quality Analyst – AI/ML

Job Summary We are looking for a Data Quality Analyst – AI/ML to ensure the accuracy, consistency, completeness, and reliability of datasets used in AI/ML applications. The role involves reviewing large volumes of digital content and datasets, identifying quality issues, applying defined quality standards, and supporting continuous improvement of AI data workflows. Key Responsibilities • Review and evaluate text, images, videos, audio, and other digital content against defined quality standards. • Identify inaccuracies, inconsistencies, missing information, duplicates, and other quality issues. • Perform data validation, quality checks, and audits across large datasets. • Apply project-specific quality guidelines, classification rules, and evaluation criteria consistently. • Investigate recurring quality issues and identify potential root causes. • Maintain high levels of accuracy, consistency, and productivity while working with large volumes of data. • Conduct sample-based quality audits and report findings. • Provide detailed feedback to internal teams to improve overall data quality. • Track quality metrics and prepare reports on identified trends and issues. • Collaborate with AI/ML, Data Operations, Content, and Product teams . • Support the development and improvement of quality-control processes and SOPs . • Ensure deliverables meet defined client and project requirements. Required Skills • 1–4 years of experience in Data Quality, Data Validation, Quality Assurance, Content Review, Data Operations, or AI/ML-related operations . • Strong attention to detail and ability to identify errors in large datasets. • Experience reviewing text, images, videos, or digital content . • Strong analytical and problem-solving abilities. • Ability to understand and follow detailed guidelines. • Good communication and documentation skills. • Proficiency in MS Excel / Google Sheets . • Comfortable working with repetitive, detail-oriented tasks while maintaining high accuracy. Preferred Skills • Experience working on AI/ML, Generative AI, Computer Vision, NLP, or digital content projects . • Experience with data quality or content quality platforms . • Basic knowledge of SQL, Python, or data analysis is an advantage. • Experience with quality auditing, content review, or digital operations.