US Surgical Video Annotation Program Lead; Remote

Surgical Video Annotation Program Lead

Job Description:

Surgical Video Annotation Program Lead (Team Lead)

Location:

USA (Remote/Hybrid)

Type:
Full-time

Reports to:

Head of Delivery / Program Director

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.

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.

Program delivery (E2E):
Stand up and run the annotation “factory” from intake → de‑ → task orchestration → annotation → QA/IRR → adjudication → dataset release + evidence pack.

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.

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.

• 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, track ambiguity categories, 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 (provenance, QA, IRR, adjudication trail, sign‑offs).

Ensure labeling operations follow enterprise security requirements (access control, logging, retention, de‑identification review) and support audits/vendor risk requests.

Lead weekly operating reviews, present throughput/quality metrics, manage scope changes, and ensure PoCs convert into scaled programs.

Team: L1 annotators, L2 senior annotators, QA auditors, adjudicators; coordinate with clinical reviewers and ML/data engineering.

Operating system: SOPs, training curriculum, calibration playbooks, quality scorecards, escalation paths, and release checklists.

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).

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.

Healthcare domain familiarity: surgical workflows, OR video sources (endoscopy/robotic), common quality issues (smoke, blur, blood occlusion).

Experience coordinating de‑identification workflows for video/audio and supporting enterprise security reviews (SOC2/ISO‑type controls).

Exposure to automation/ML‑assisted labeling: pre‑labeling, confidence routing, active learning basics.

Prior work on dataset versioning and “release” discipline (e.g., DVC‑like thinking, evidence packs, reproducible builds).

Note:

Please apply via our official careers portal only, as applications sent directly to executives may not be considered.