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

.

- Solid 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 (India)
🏢 INNODATA INDIA PRIVATE
📍 India