Director Surgical Data Annotation & Programs (Pune) (India)

Codvo.ai; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

CODVO.AI in Pune, India (Hybrid) is seeking an expert leader to own end-to-end delivery for high-throughput surgical video annotation programs. You will drive standard operating models, quality gates, and evidence packs to ensure regulatory readiness and client trust.

You will partner with clinical SMEs to define ontology and governance, manage risk, and push automation and cost efficiency while ensuring reproducible, auditable outputs across programs.

Qualifications

• Leads end-to-end surgical video annotation programs ensuring clinical defensibility and regulatory readiness.
• Drives standard operating models, QA gates, and evidence packs across programs.
• Partners with clinical SMEs to define ontologies and governance for labeling guidelines.

Responsibilities

• Own end to end delivery for multiple concurrent surgical video annotation programs.
• Set and enforce standard operating models from intake to dataset release and evidence packs.
• Ensure programs meet SLAs, quality thresholds, and release timelines at scale.
• Define and institutionalize annotation operating standards like SOPs, quality gates, and dataset versioning.

Skills

Delivery leadership

Program management

Quality systems

Regulatory readiness

Clinical governance

Automation strategy

Cross-functional

Education

MBA or equivalent

Tools

Annotation tooling

Clinical data systems

Job description

Company: CODVO.AI

Department: Engineering

Location: Pune, India (Hybrid)

Employment Type: Full-time

Experience Level: Expert (1215+ years)

Shift Timing: 2:30 PM 11:30 PM IST

Work Days: 3 days per week on-site

Role Goal

Provide strategic and operational leadership for a portfolio of high throughput, clinically defensible, audit ready surgical video annotation programs. Own scale, standardization, automation leverage, quality systems, and client trust across multiple programsensuring predictable delivery, regulatory readiness, and measurable ROI on human in the loop operations.

What You'll Do

Portfolio & Delivery Ownership (E2E)

• Own end to end delivery for multiple concurrent surgical video annotation programs across clients, procedures, and modalities.
• Set and enforce standard operating models from intake de identification annotation QA/IRR adjudication dataset release + evidence packs.
• Ensure programs meet or exceed SLAs, quality thresholds, and release timelines at scale.

Operating Model & Standardization

• Define and institutionalize annotation operating standards:
  • Program playbooks
  • SOPs
  • Quality gates
  • Evidence pack structure
  • Dataset versioning discipline
• Ensure every program is reproducible, auditable, and clinically defensible.

Ontology & Clinical Governance

• Partner with senior clinical SMEs to:
  • Define and approve procedure level ontologies (phases, steps, anatomy, tools, events).
  • Ensure consistent translation into labeling guidelines, UI constraints, and QA checks.
• Own governance mechanisms to resolve clinical ambiguity, manage guideline evolution, and prevent ontology drift across programs.

Automation First Strategy

• Set the automation vision and roadmap for surgical video labeling:
  • Pre labeling + verification as default
  • Confidence/uncertainty based task routing
  • Active learning feedback loops
• Drive continuous reduction in cost per labeled minute and human effort per release.
• Partner with ML, platform, and data engineering leaders to productionize automation gains.

Quality Systems & Audit Readiness

• Design and govern enterprise grade quality systems:
  • Multi rater strategies by label class
  • IRR standards (kappa, alpha, IoU/Dice as applicable)
  • Calibration and retraining frameworks
  • Acceptance thresholds by use case (R&D; vs regulated)
• Ensure every dataset ships with a complete Evidence Pack:
  • Provenance
  • QA & IRR reports
  • Adjudication logs
  • Clinical and delivery sign offs

Adjudication & Risk Management

• Own disagreement governance across programs:
  • Escalation paths to senior adjudicators and clinicians
  • Systematic tracking of ambiguity categories
  • Closure of recurring issues via guideline and tooling updates
• Proactively identify delivery, quality, compliance, and reputational risks.

Security, Privacy & Compliance Leadership

• Ensure all annotation programs comply with:
  • De identification standards