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 . Robust 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.

📌 Data Quality Analyst AI/ML (Mumbai)
🏢 INNODATA INDIA PRIVATE
📍 Mumbai