Supervisor, AI-ML Data Annotation (AV/ADAS)
Digital Divide Data View all jobs
- Nairobi
- Contract
- Full-time
- 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.
- 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.
- 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.
- Bachelor’s degree preferred
- College diploma or relevant professional certifications will also be considered
- 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
- Speaking: B2
- Reading: C1
- Writing: C1
- ADAS domain expertise and behavioral taxonomy application
- Advanced 3D semantic segmentation and LiDAR labeling
- Telemetry data analytics
- Strong understanding of annotation quality frameworks, workflow controls, and production management
- Ability to interpret operational data and translate insights into practical solutions
- MUST have BPO Experience at least 2 years