Director & Surgical Data Annotation Programs

Codvo.ai; Mumbai; On-site; INR 350,000 - 550,000; Full time

Job summary

CODVO.AI in Pune seeks an expert leader to own end-to-end delivery for surgical video annotation programs across clients and modalities. You will set and enforce operating models from intake through dataset release, ensuring SLAs, quality, and timely releases at scale.

The role emphasizes governance, clinical ontology, and an automation-first strategy, partnering with ML, platform, and data engineering teams to drive ROI and auditable, compliant processes.

Qualifications

• Experience in data operations and annotation programs.
• Hands-on expertise with QA in clinical or regulated data.
• Strong program management across multiple portfolios.
• Ability to translate clinical guidelines into tool-based workflows.
• Experience working in regulated healthcare or life sciences environments.

Responsibilities

• Own end-to-end delivery for multiple surgical video annotation programs across clients and modalities.
• Define and enforce SOPs, playbooks, QA gates, and evidence pack structures.
• Lead governance to resolve clinical ambiguity and manage guideline evolution.
• Drive automation roadmap: pre-labeling, confidence-based routing, and active learning.
• Establish enterprise-grade quality systems with IRR accountability and audits.

Skills

Data operations

Annotation programs

Quality assurance

Executive program management

Regulated environments

Stakeholder leadership

Video annotation workflows

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 Youll 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
• Data access controls
• Logging, retention, and audit requirements

Serve as executive owner for security reviews, audits, and vendor risk assessments (SOC2 / ISO aligned environments).

Client & Executive Leadership

Act as senior escalation and trusted advisor for clients.

Lead executive level program reviews, roadmap discussions, and expansion opportunities.

Ensure PoCs convert into long term, scaled production partnerships.

Build & Scale Organization & Talent

• Program Leads
• Senior annotators & adjudicators
• QA auditors
• Training & calibration leads

Define career pathways, certification standards, and succession plans.

Operating Infrastructure

Enterprise level:

• SOP libraries
• Training academies
• Calibration playbooks
• Release governance checklists

Cross program tooling consistency and metrics instrumentation.

Metrics & Executive Dashboards

Own portfolio level metrics:

• Throughput & cycle time
• Rework and defect density
• IRR trends by label type
• Acceptance pass rate
• Cost per labeled minute/hour
• Automation leverage and pre label acceptance

Translate metrics into decision ready insights for leadership and clients

Required Qualifications

• 1215+ years of handson experience in data operations, annotation programs, QAled delivery, or clinical data management
• 5+ years leading managers or owning multiprogram portfolios
• Deep, handson expertise with video annotation programs, including temporal segmentation, event labeling, and annotation tool workflows at scale
• Proven track record designing and running enterprisegrade quality systems with IRR accountability
• Strong executive program management skills: capacity planning, financial control, risk management, and stakeholder leadership
• Demonstrated ability to operationalize clinical guidelines into enforceable, toolbased workflows
• Experience working in regulated or hightrust environments (healthcare, life sciences, sensitive data handling)

Preferred Qualifications (Strong .