Surgical Video Annotation Program Lead

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🕒 Junho 24

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Codvo.ai

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🤖 Inteligência Artificial

🔒 Cibersegurança

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

A Codvo. ai é uma empresa de tecnologia especializada em entregar soluções estratégicas para empresas por meio de inovação avançada impulsionada por AI. A companhia foca em transformar dados corporativos em valor mensurável, ajudando negócios a acelerar o crescimento com implementações de AI personalizadas, adequadas aos desafios específicos de diversos setores. Seu amplo portfólio de serviços inclui automação com AI/ML, desenvolvimento de aplicações, análise de dados, cibersegurança e transformação digital, garantindo que as organizações prosperem em um cenário digital em rápida evolução.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• remote work options