AI Data Quality and Verification Associate

Entri Jobs; Ernakulam; On-site; INR 300,000 - 540,000; Full time

Job summary

Entri Jobs invites a meticulous and motivated AI Data Quality and Verification Associate to validate AI-generated responses, ensure high data quality, and provide feedback to improve the system's learning and performance.

You will review answers for RFIs, cross-check against source documents, highlight inaccuracies, and tag data for model training, collaborating with QA, product, and development teams to drive continuous improvement.

Qualifications

• Strong written English and comprehension skills.
• Basic familiarity with data formats (Excel, PDF, Word).
• Detail-oriented with analytical thinking.
• Interest in AI, automation, or data verification.
• Experience in data annotation or QA is desirable but not required.

Responsibilities

• Review AI-generated answers for RFIs and verify accuracy, completeness, and relevance.
• Cross-check information against original data sources (documents, spreadsheets, websites, etc.).
• Highlight inaccuracies, missing information, or contextual errors in the responses.
• Provide structured feedback to the product and training teams to refine the AI model.
• Tag or annotate responses and data points for model training and continuous improvement.
• Ensure that source documents are clean, properly structured, and formatted for ingestion.
• Collaborate with the QA, product, and development teams for issue resolution and quality improvements.

Skills

Detail oriented

Analytical thinking

English proficiency

AI/Automation interest

Tools

Excel

PDF

Word

Online knowledge bases

Job description

We are seeking a meticulous and motivated AI Data Quality and Verification Associate to help validate AI-generated responses, ensure high data quality, and contribute feedback to improve the system's learning and performance. The candidate will have the opportunity to grow into a QA Analyst or AI Trainer role as the company scales.

Responsibilities

• Review AI-generated answers for RFIs and validate their accuracy, completeness, and relevance.
• Cross-check information against original data sources (documents, spreadsheets, websites, etc.).
• Highlight inaccuracies, missing information, or contextual errors in the responses.
• Provide structured feedback to the product and training teams to refine the AI model.
• Tag or annotate responses and data points for model training and continuous improvement.
• Ensure that source documents are clean, properly structured, and formatted for ingestion.
• Collaborate with the QA, product, and development teams for issue resolution and quality improvements.

Qualifications

• Good command of written English and comprehension skills.
• Basic understanding of data formats like Excel, PDF, Word, and online knowledge bases.
• Detail-oriented with strong analytical thinking.
• Interest in AI, automation, or data verification is a plus.
• Prior experience in data annotation, QA, or documentation review is desirable but not mandatory

Skills

Excel, word, PDF, online knowledge

Experience

0-1 years