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This role drives meaningful improvements to AI extraction quality by identifying patterns across large volumes of submissions and translating them into clear engineering requirements and quality metrics.&nbsp;</p><p>This position acts as a trusted partner to architects, engineers, and product stakeholders while remaining actively engaged in review work.<br><strong>Job Responsibilities:</strong></p><ul><li>Independently review and validate edge-heavy AI-extracted data from complex insurance, financial and other un-structured business documents(e.g., text files, claims, property values, loss runs, spreadsheets, PDFs, scanned submissions) for accuracy and compliance with quality standards</li><li>Own quality standards for a defined segment of the AI pipeline (e.g., SOVs or loss runs).</li><li>Identify systemic error patterns and articulate root causes clearly.</li><li>Write high-quality requirements, bug reports, and acceptance criteria.</li><li>Partner closely with engineers to refine extraction logic and workflows.</li><li>Contribute to data quality metrics (accuracy by field, error rates by document type).</li><li>Improve review documentation, guidelines, and QA checklists and mentor junior analysts on quality standards and review techniques.</li></ul><p><strong>Skill and Experience:</strong></p><ul><li>3-5 years of experience required to perform essential job functions&nbsp;</li><li>Additional Experience Qualifier (optional): 3-5 years preferred in data quality, QA, analytics or operational roles</li><li>Experience in Commercial or property insurance</li><li>Familiarity with SQL or querying tools.</li><li>Deep experience validating complex business or financial documents.&nbsp;</li><li>Strong ability to organize and clearly document complex quality observations.&nbsp;</li><li>Advanced Excel and analytical reasoning skills.&nbsp;</li><li>Experience working cross-functionally with engineering and data teams.&nbsp;</li><li>Comfort balancing hands-on work with quality leadership.</li><li>Strong insurance domain knowledge.&nbsp;</li><li>Experience supporting ML or AI production systems.</li></ul><p><strong>Must Have Skills:&nbsp;</strong></p><ul><li>3-5yrs of experience</li><li>Microsoft office, Data Analysis, detail oriented, <strong>Extensive testing/QA analysis</strong>, strong communication skills,&nbsp;</li><li><strong>QA</strong> (Data quality &amp; Data validation)</li><li><strong>SQL</strong>,&nbsp;</li><li>Leadership and Project Management skills</li><li>Automation skills, Manual testing skills required&nbsp;</li></ul><p><strong>Good to Have Skills:</strong></p><ul><li>SQL, AI systems exposure (AI / Gen AI / LLM)</li></ul><p><strong>Education and Certifications:</strong></p><p>4 Year / Bachelors Degree</p><p><strong>Work location:&nbsp;</strong>Bengaluru</p><p><br>&nbsp;</p>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/fmindia/ai-data-quality-analyst-ii-bengaluru-T500-26165","created_at":"2026-05-22T19:12:04.163711+05:30","updated_at":"2026-06-13T14:25:47.334185+05:30","title_alias_1":"AI Data Quality Analyst II","slug":"ai-data-quality-analyst-ii-bengaluru-T500-26165","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":3,"max_experience_years":5,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-26165","external_id":37970,"external_job_code":"FMJP010","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-05-19T15:11:19.416620+05:30","published_at":"2026-05-22T19:12:03.399641+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-26165.png","role_summary":"<p><strong>About FM:</strong><br>FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. 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