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Supervisor, AI-ML Data Annotation (AV/ADAS) at Digital Divide Data
JobSearch
Nairobi 🇰🇪 Kenya
Posted 11 days ago (25 Aug 2026) Updated 10 days ago
Job Description
The supervisor will lead a team delivering AI/ML data annotation for autonomous vehicle and ADAS projects, ensuring high-quality output and adherence to client timelines. Responsibilities include overseeing 3D semantic segmentation, LiDAR labeling, and telemetry data processing while managing workforce performance. The role requires close collaboration with clients to meet service standards and drive continuous improvement. Strong leadership and technical expertise are essential for success.
Qualifications & Requirements
- • Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or a related field.
- • Minimum three years of experience in AI/ML data annotation or a comparable production environment.
- • Strong knowledge of autonomous-vehicle and ADAS behavioral taxonomy.
- • Proficiency with 3D semantic segmentation, LiDAR labeling, and telemetry data analysis.
- • Demonstrated leadership and team-supervision abilities.
- • Excellent communication and problem-solving skills.
Required Skills
Responsibilities
- • Supervise daily activities of the client delivery team to ensure efficient execution of AI/ML annotation workflows.
- • Monitor workforce performance and enforce quality and service standards for AV and ADAS projects.
- • Oversee 3D semantic segmentation, LiDAR labeling, and telemetry data annotation processes.
- • Coordinate with clients to meet delivery expectations and resolve operational issues.
- • Drive continuous improvement initiatives to enhance annotation accuracy and productivity.
- • Manage resource allocation and schedule adherence across multiple annotation programs.