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Surgical Video Annotation Program Lead

GeneralGeneralFull TimeRemoteSeniorTeam 51-200Since 2019H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

2 days ago

Salary

0

Seniority

Senior

Bachelor Degree6 yrs expEnglish

Job Description

Surgical Video Annotation Program Lead

Codvo.ai

• 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. • Stand up and run the annotation “factory” from intake → de-ID → task orchestration → annotation → QA/IRR → adjudication → dataset release + evidence pack. • 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. • Drive pre-labeling + verification workflows, implement routing based on model confidence/uncertainty, and continuously reduce human effort per labeled minute. • Implement and enforce multi-rater sampling strategy IRR reporting by label type (kappa/alpha; IoU/Dice where applicable), calibration loops and retraining for annotators QA gates + sampling plans with acceptance thresholds. • Run the disagreement workflow, manage escalation to senior annotators/clinical reviewers, and ensure guideline updates close recurring issues. • Own versioning, provenance, and release discipline—ensuring every dataset is reproducible and ships with an audit-ready Evidence Pack.

Job Requirements

  • 6–10+ years in annotation operations / data operations / QA-led delivery, with at least 2+ years in a lead role managing teams and SLAs.
  • Hands-on experience with video annotation (temporal segmentation + event labeling) and familiarity with bounding boxes/segmentation concepts.
  • Demonstrated ability to implement multi-rater workflows, compute/interpret IRR, and run calibration to improve consistency.
  • Strong program management skills: planning, staffing, throughput modeling, risk management, and stakeholder communication.
  • Comfort working with tooling/APIs and structured data exports; ability to translate guidelines into tool-enforceable rules.
  • Experience in regulated or sensitive-data environments (healthcare preferred): privacy-first mindset, audit trails, process discipline.

Benefits

  • remote work options

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