(US) Surgical Video Annotation Program Lead (Remote)

<div><span><div style="-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; color: rgb(0, 0, 0); font-family: ;"><div style="-webkit-user-drag: none; -webkit-tap-highlight-color: transparent; margin: 0px; padding: 0px; clear: both; cursor: text; overflow: visible; position: relative; direction: ltr;"><p style="margin-bottom:0cm;">Surgical Video Annotation Program Lead </p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"> </p><p style="margin-bottom:0cm;"><strong>&nbsp;</strong></p><p style="margin-bottom:0cm;"><strong>Job Description: Surgical Video Annotation Program Lead (Team Lead)&nbsp;</strong></p><p style="margin-bottom:0cm;"><strong>&nbsp;</strong></p><p style="margin-bottom:0cm;"><strong>Location: USA (Remote/Hybrid)&nbsp;</strong></p><p style="margin-bottom:0cm;"><strong>Type: Full-time&nbsp;</strong></p><p style="margin-bottom:0cm;"><strong>Reports to: Head of Delivery / Program Director&nbsp;</strong></p><p style="margin-bottom:0cm;">Role goal: Own end-to-end delivery of a high-throughput, clinically defensible, audit-ready surgical video annotation program—driving automation-first workflows, quality (IRR/QA), and on-time dataset releases.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><strong>About Us</strong></p><p style="margin-bottom:0cm;">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.</p><div><br></div><p style="margin-bottom:0cm;"><strong>&nbsp;</strong></p><p style="margin-bottom:0cm;"><strong>What you will own&nbsp;</strong></p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Program delivery (E2E): Stand up and run the annotation “factory” from intake → de-ID → task orchestration → annotation → QA/IRR → adjudication → dataset release + evidence pack.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Ontology + guidelines execution: Partner with clinical SMEs to operationalize a procedure-specific ontology (phases/steps, tools, anatomy, events) and convert it into clear labeling guidelines and UI rules.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Automation-first operations: Drive pre-labeling + verification workflows (not manual-from-scratch), implement routing based on model confidence/uncertainty, and continuously reduce human effort per labeled minute.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Quality system: Implement and enforce:</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Multi-rater sampling strategy</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">IRR reporting by label type (kappa/alpha; IoU/Dice where applicable)</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Calibration loops and retraining for annotators</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">QA gates + sampling plans with acceptance thresholds</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Adjudication governance: Run the disagreement workflow, manage escalation to senior annotators/clinical reviewers, track ambiguity categories, and ensure guideline updates close recurring issues.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Dataset release management: Own versioning, provenance, and release discipline—ensuring every dataset is reproducible and ships with an audit-ready Evidence Pack (provenance, QA, IRR, adjudication trail, sign-offs).</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Security + compliance coordination: Ensure labeling operations follow enterprise security requirements (access control, logging, retention, de-identification review) and support audits/vendor risk requests.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Client-facing cadence: Lead weekly operating reviews, present throughput/quality metrics, manage scope changes, and ensure PoCs convert into scaled programs.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><strong>What you will build and run&nbsp;</strong></p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Team: L1 annotators, L2 senior annotators, QA auditors, adjudicators; coordinate with clinical reviewers and ML/data engineering.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Operating system: SOPs, training curriculum, calibration playbooks, quality scorecards, escalation paths, and release checklists.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Metrics: Throughput, cycle time, rework rate, IRR trends, defect density, acceptance pass rate, cost per labeled hour/minute, and automation leverage (pre-label acceptance rate).</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><strong>Required qualifications&nbsp;</strong></p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">6–10+ years in annotation operations / data operations / QA-led delivery, with at least 2+ years in a lead role managing teams and SLAs.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Hands-on experience with video annotation (temporal segmentation + event labeling) and familiarity with bounding boxes/segmentation concepts.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Demonstrated ability to implement multi-rater workflows, compute/interpret IRR, and run calibration to improve consistency.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Strong program management skills: planning, staffing, throughput modeling, risk management, and stakeholder communication.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Comfort working with tooling/APIs and structured data exports; ability to translate guidelines into tool-enforceable rules.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Experience in regulated or sensitive-data environments (healthcare preferred): privacy-first mindset, audit trails, process discipline.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">&nbsp;</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><strong>Preferred qualifications (strong plus)&nbsp;</strong></p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Healthcare domain familiarity: surgical workflows, OR video sources (endoscopy/robotic), common quality issues (smoke, blur, blood occlusion).</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Experience coordinating de-identification workflows for video/audio and supporting enterprise security reviews (SOC2/ISO-type controls).</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Exposure to automation/ML-assisted labeling: pre-labeling, confidence routing, active learning basics.</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;">Prior work on dataset versioning and “release” discipline (e.g., DVC-like thinking, evidence packs, reproducible builds).</p><p style="margin-bottom:0cm;"><br></p><p style="margin-bottom:0cm;"><br></p><div><br></div><p style="margin-bottom:0cm;">Note- <span>Please apply via our official careers portal only, as applications sent directly to executives may not be considered.</span>&nbsp;</p></div></div></span></div>