Job Description
Job Title: QA Auditor (Sampling, Quality Gates, Release Readiness)
JD: QA Auditor Surgical Video Annotation (Sampling, Quality Gates, Release Readiness)
Location: India - Pune | Type: Full-time
Reports to: Quality Lead / Program Lead
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
Role goal: Protect dataset quality at scale by running sampling-based audits, enforcing quality gates, and ensuring every dataset release is audit-ready and meets acceptance thresholds.
Responsibilities
Execute sampling plans (stratified by label type, difficulty, site/surgeon/device, model confidence) for ongoing QA and release audits.
Audit annotations against guidelines + ontology; score defects using standardized rubrics (severity, type, root cause).
Run and validate quality gates prior to release:
completeness/coverage checks
schema/constraint checks (illegal combinations, temporal consistency, boundary rules)
defect density and rework thresholds
Generate rework tickets with precise instructions; track closure and verify fixes.
Partner with Annotation Lead to drive calibration actions (training refreshers, guideline clarifications, examples library).
Maintain QA dashboards: defect rate, rework %, gate pass rate, audit cycle time, top error patterns by annotator/team/label type.
Support release readiness: ensure required artifacts are complete for the Evidence Pack (QA results, sampling logs, sign-offs).
Escalate systematic issues to Adjudication/Clinical Review (definition gaps, ambiguous classes, recurring edge cases).
Deliverables (what you produce weekly)
QA audit reports (sample size, findings, severity distribution, root-cause categories)
Gate status + release checklist sign-off recommendations
Rework queue and closure verification
Trend insights and corrective action plan (top 3 issues + fixes)
Requirements
37+ years in data QA / annotation QA / operations quality; experience auditing labeled datasets (video preferred).
Strong command of sampling-based QA: stratified sampling, acceptance thresholds, and audit scoring.
High attention to detail; comfortable reading and enforcing detailed SOPs/guidelines.
Strong documentation skills; can write clear defect descriptions and rework instructions.
Comfortable with dashboards/spreadsheets; basic metric literacy (defect density, rework, throughput).
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
