Codvo.ai

Surgical Video Annotation Program Lead

Codvo.ai  •  Pune, IN (Onsite)  •  3 months ago
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Job Description

Job Title: Surgical Video Annotation Program Lead (Team Lead)

Location: India - Pune

Type: Full-time

Reports to: Head of Delivery / Program Director

About Us

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.

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.

What you will own

Program delivery (E2E): Stand up and run the annotation “factory” from intake → de-ID → 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.

Quality system: 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

Adjudication governance: Run the disagreement workflow, manage escalation to senior annotators/clinical reviewers, track ambiguity categories, and ensure guideline updates close recurring issues.

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).

Security + compliance coordination: Ensure labeling operations follow enterprise security requirements (access control, logging, retention, de-identification review) and support audits/vendor risk requests.

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

What you will build and run

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).

Required qualifications

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.

Preferred qualifications (strong plus)

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.

Codvo.ai

About Codvo.ai

At Codvo.ai, we specialize in leveraging artificial intelligence, cloud, and data to solve complex business problems and drive innovation. Our passion for innovation drives us to deliver solutions that not only meet but exceed your unique business needs, fostering smarter, more productive teams. Here’s why our approach has earned widespread acclaim from our clients:

67 Customer NPS: Our Net Promoter Score is a testament to the high level of satisfaction and loyalty among our clients. It underscores our ability to deliver quality and value through our specialized services, making us a preferred partner for businesses looking to leverage AI and data for competitive advantage.

78 Employee NPS: The satisfaction and engagement of our team directly influence the quality of service we provide. Our high employee NPS signifies a motivated, dedicated team that's committed to excellence. This positive work culture ensures that we can deliver exceptional AI-first engineering and enterprise data application services to you.

Our approach goes beyond traditional software development; we're dedicated to partnering with you to harness the power of AI and data. The combination of our high trial and engagement success rates, extensive experience, and positive feedback from both clients and employees positions us as more than just a service provider. We're your trusted ally in navigating the complexities of today's digital landscape, committed to transforming your vision into a reality with cutting-edge AI and data solutions.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Plano, Texas
Year Founded
2019
Website
codvo.ai
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