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About the role
About the job: Key responsibilities: 1. Perform quality checks on extracted data to ensure accuracy, completeness, and consistency. 2. Review and evaluate different use cases and workflows as part of the data validation process. 3. Validate extracted information against source documents and identify discrepancies or missing data. 4. Ensure compliance with defined quality standards and turnaround time (TAT) requirements. 5. Document findings, edge cases, and quality issues during the evaluation process. 6. Collaborate with internal teams to provide feedback for improving data extraction models and workflows. 7. Support the assessment and validation of operational workflows and requirements Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,10,000 - 3,60,000 /year Experience: No experience required Deadline: 2026-08-16 23:59:59 Other perks: 5 days a week, Free snacks & beverages Skills required: MS-Excel Other Requirements: Bachelor’s degree in any discipline. 0–2 years of experience in quality assurance, data validation, operations, or similar roles. Prior exposure to insurance or related domains is preferred but not mandatory. Strong attention to detail and analytical thinking. Ability to work in a fast-paced environment while meeting timelines. Quick learner with strong problem-solving skills. Basic proficiency in Microsoft Excel or similar data review tools. About Company: We are a Y-Combinator-backed startup, co-founded by an IIT Roorkee alumnus. We help the insurance industry automate manual processes, reduce errors, and increase high and low-skilled employee productivity. We're on a mission to bring intelligent automation to the world and are on the first step of automation, i.e., automating document processing. Our deep learning models convert any paper document into structured data. We have implemented our solution at a few of the top insurance companies in India, helping them lower costs and reduce time spent on manual data entry.
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