Data Labeler – AV/ADAS (Boot Camp)

About the role

Digital Divide Data is offering a two‑week, 80‑hour boot camp in Nairobi for experienced data labelers specializing in autonomous vehicle (AV) and advanced driver‑assistance systems (ADAS). Participants will receive intensive training and, upon successful completion, will join a pre‑screened talent bench for future project assignments.

Key responsibilities

• Perform LiDAR and point‑cloud annotation, creating accurate 2D and 3D bounding boxes.
• Annotate images and video for object detection, classification, tracking, and segmentation tasks.

Required profile

• Minimum 1 year of hands‑on AV/ADAS data annotation experience.
• Strong attention to detail, ability to meet productivity and quality targets, and proficiency in English.

Required skills

• LiDAR point‑cloud annotation
• 2D and 3D bounding box creation
• Image and video annotation
• Object detection, classification and tracking
• Polygon, semantic and instance segmentation
• Lane, road, pedestrian and vehicle feature annotation

What we offer

• Training stipend reimbursed after successful completion of the boot camp.
• Placement on DDD’s talent bench for consideration on future AV/ADAS projects.