Surgical Video Annotation Program Lead

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🕒 June 24

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Codvo.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape.

📋 Description

• 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.

🎯 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