DI Quality and Validation Analyst

OneOrigin; Bengaluru; On-site; INR 300,000 - 500,000; Full time

Job summary

OneOrigin in Bengaluru, India is seeking a fresh or near-fresher to own the quality of transcript data through the review process. The role focuses on validating extracted data against source documents and institutional rules to ensure accuracy.

The candidate will resolve flagged issues, document changes, and identify recurring problems to help the product team improve extraction, mapping, and publishing workflows using AI-assisted tools while maintaining clear status updates and handoffs.

Qualifications

• Freshers to 1 year experience may be considered for this role.
• Candidates should be detail oriented and capable of following documented institution rules.

Responsibilities

• Validate extracted data against source documents and documented institution rules.
• Resolve flagged exceptions and record what changed and why.
• Identify recurring extraction, mapping and publishing problems, with clear examples for the product team.
• Use AI-assisted tools and repeatable checks to reduce manual effort while preserving accuracy.
• Keep review status, blockers and handoffs clear.

Skills

Data validation

Quality control

Process documentation

AI-assisted tools

Tools

AI tools

Job description

OneOrigin , where innovation meets imagination! Based in Scottsdale, AZ and Bangalore, India, we’re on a mission to harness the power of AI to transform the way Higher Education

institutions operate. Our cutting-edge software solutions streamline administrative processes, enhance student engagement, and empower data-driven decision-making.

Whether it’s automating tasks, providing actionable insights, or improving learning outcomes, we make AI accessible and impactful for colleges and universities. #LI-Onsite

Freshers to 1 year experience

Own the quality of transcript data through the review process.

• Validate extracted data against source documents and documented institution rules.
• Resolve flagged exceptions and record what changed and why.
• Identify recurring extraction, mapping and publishing problems, with clear examples for the product team.
• Use AI-assisted tools and repeatable checks to reduce manual effort while preserving accuracy.
• Keep review status, blockers and handoffs clear.