Data Labelers- AV/ADAS

Digital Divide Data (DDD Kenya)

Job Title: Data Labelers- AV/ADAS Job Type Contract , Full Time Qualification BA/BSc/HND Experience 1 year Location Nairobi Job Field Data, Business Analysis and AI , ICT / Computer

Job Description

Are you an experienced AV or ADAS data labeler in Kenya? Digital Divide Data (DDD) is hosting a 2-week Boot Camp for data annotation professionals who excel in quality, accuracy, consistency, and detail-oriented Autonomous Vehicle operations.

Applicants should have practical experience in one or more of the following:

• LiDAR and point-cloud annotation.
• 2D and 3D bounding boxes.
• Image and video annotation.
• Object detection, classification, and tracking.
• Polygon, semantic, or instance segmentation.
• Lane, road, pedestrian, vehicle, and environmental feature annotation.
• Autonomous Vehicle or ADAS quality assurance.
• Interpretation and application of detailed annotation guidelines.
• Language-based tasks like transcription, captioning, and prompt-response writing

Qualifications

• Have 1+ years of hands-on experience in Autonomous Vehicle, ADAS, or closely related data annotation work.

• Demonstrate a strong understanding of annotation quality standards and guidelines.

• Have excellent attention to detail and the ability to work accurately on repetitive and complex tasks.

• Be able to meet defined productivity and quality expectations.

• Be available for potential project deployment after successfully completing the assessment process.

• Not currently enrolled as a student.

• Be willing to complete experience verification and a practical skills assessment.

• Reading and writing proficiency in English

• How will the Training programme work?

• The Training will be a 2-week, 80-hour in-person boot camp combining theory, practical exercises, and daily skill checks.

• AV fundamentals: Scene understanding, object classification, LiDAR/point clouds, 3D annotation, precision, and 2D/3D correlation.

• Driving and temporal reasoning: Tracking over time, ego behaviour, traffic and road context, agent interaction, and spatio-temporal reasoning.

• Advanced reasoning: Logical linking, causal/VLA reasoning, and working with evidence and uncertainty.

• Quality and adaptability: Attention to detail, learning agility, adapting to changing guidelines, and independent QA.

• Hands-on application: Learners apply concepts through practical annotation tasks, calibration, feedback, and exercises, not classroom learning alone.

• Post-Training assessment: Five evaluation tasks combining tool-based scoring and expert review, with critical gates for technical execution, reasoning, quality, and adaptability.

• Production readiness: Trainees who meet the required standard move into production as project opportunities become available

• Trainees must complete the full programme and meet defined quality and proficiency standards to successfully complete it. Successful completion does not guarantee immediate employment. Qualified participants will join DDD’s pre-screened talent bench and may be considered for future project assignments based on client demand and individual availability.

• Note: This will be an in-person boot camp held at the DDD Nairobi offices. A training stipend will be reimbursed to all the successful trainees upon completion of the 2-week boot camp

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