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Data Labelers- AV/ADAS at Digital Divide Data (DDD Kenya)
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Nairobi 🇰🇪 Kenya
Posted 1 day ago (29 Sep 2026) Updated about 4 hours ago
Job Description
Data labelers will annotate autonomous‑vehicle and ADAS datasets, including LiDAR point clouds, 2‑D/3‑D bounding boxes, and segmentation masks. They must follow detailed annotation guidelines, maintain high accuracy, and meet productivity targets. Participants will attend a two‑week boot camp to sharpen technical skills before joining production projects. Attention to detail and strong English proficiency are essential.
Qualifications & Requirements
- • BA/BSc/HND degree or equivalent
- • Minimum 1 year hands‑on experience in autonomous‑vehicle or ADAS data annotation
- • Strong attention to detail and ability to produce accurate annotations
- • Ability to meet productivity and quality expectations
- • Proficient reading and writing in English
Required Skills
Responsibilities
- • Annotate LiDAR point‑cloud data and create 3‑D bounding boxes
- • Perform 2‑D and 3‑D bounding‑box annotation on images and video
- • Execute semantic and instance segmentation tasks
- • Label lanes, road, pedestrian, vehicle and environmental features
- • Follow quality‑assurance guidelines and meet defined productivity metrics
- • Participate in a two‑week boot camp and subsequent project deployments