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Supervisor, AI-ML Data Annotation (AV/ADAS) at Digital Divide Data

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Job Detail

  • Job ID 1016547
  • Experience  2 Years
  • Qualifications  Degree Bachelor

Job Description

Key Responsibilities

Operational Supervision

  • Supervise the daily activities of the client delivery team to ensure efficient execution of assigned workflows and achievement of operational targets.
  • Maintain full accountability for team-level performance against SLAs, KPIs, productivity, quality standards, and operational risk controls.
  • Monitor workflow performance, identify delivery risks, and take timely action to maintain continuity, efficiency, and service excellence.
  • Serve as the first point of internal escalation for project-related issues and ensure prompt escalation to relevant stakeholders where appropriate.
  • Monitor project and workflow systems and applications to ensure they are functioning properly and supporting delivery requirements.
  • Track, analyze, and report on project, operational, and people-related metrics to support performance management and decision-making.

People Supervision and Performance Management

  • Directly supervise production employees, including coaching, performance evaluation, goal setting, performance improvement plans, and disciplinary action as required.
  • Provide day-to-day direction, guidance, and support to team members to ensure clarity of expectations and consistency of execution.
  • Conduct regular performance discussions to review results, recognize achievements, and identify opportunities for improvement and development.
  • Coordinate and/or deliver training to strengthen team capability, close performance gaps, and support continuous improvement.
  • Support workforce planning decisions, including staffing input, resource utilization, and workload balancing.
  • Own team-level conflict resolution and contribute to a productive, engaged, and accountable work environment.

Continuous Improvement and Delivery Excellence

  • Analyze operational data and workflow processes to identify inefficiencies, recurring issues, and opportunities for performance improvement.
  • Conduct root cause analysis (RCA) and recommend corrective and preventive actions to address quality, productivity, or delivery challenges.
  • Provide recommendations on process improvements, operational initiatives, and workflow enhancements that strengthen service delivery.
  • Identify opportunities for AI-driven automation and optimization to improve operational efficiency and accuracy.
  • Act as a liaison between the delivery team and management, providing regular feedback on performance trends, challenges, and improvement opportunities.
  • Manage workforce productivity and utilization effectively to support achievement of delivery and financial cost targets.

Qualifications

Qualifications

Education

  • Bachelor’s degree preferred
  • College diploma or relevant professional certifications will also be considered

Experience

  • Minimum 2–3 years of experience in AI-ML data annotation projects, preferably within the Autonomous Vehicle (AV) industry
  • Prior experience in a supervisory or people management role is strongly preferred
  • Demonstrated experience managing team performance, quality outcomes, service levels, and productivity in a delivery-based environment

Language Requirements

Minimum English proficiency aligned to CEFR standards:

  • Speaking: B2
  • Reading: C1
  • Writing: C1

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