Data Labelers- AVADAS

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:

1. LiDAR and point-cloud annotation.

2. 2D and 3D bounding boxes.

3. Image and video annotation.

4. Object detection classification and tracking.

5. Polygon semantic or instance segmentation.

6. Lane road pedestrian vehicle and environmental feature annotation.

7. Autonomous Vehicle or ADAS quality assurance.

8. Interpretation and application of detailed annotation guidelines.

9. Language-based tasks like transcription captioning and prompt-response writing

Qualifications :

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

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

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

4. Be able to meet defined productivity and quality expectations.

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

6. Not currently enrolled as a student.

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

8. Reading and writing proficiency in English

Additional Information :

Selection Process

The selection process is expected to include:

1. Application review: Review applications and previous AV labeling experience to establish the candidates technical baseline.

2. Initial screening and interview: Assess relevant experience availability reliability and suitability for the programme.

3. Practical annotation assessment: Candidates complete a practical assessment to demonstrate their existing annotation skills before selection for training.

4. Training boot camp: Selected candidates complete the intensive 2-week programme combining technical instruction practical exercises calibration and daily skill checks.

5. Final readiness assessment: Evaluate quality technical proficiency reasoning adaptability and overall readiness for production.

6. Pre-qualified talent bench: Candidates who successfully complete the programme are placed on a ready bench for consideration against future AV project requirements.

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.

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

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

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

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

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

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

7. 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 DDDs 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

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status or disability status. If interested kindly submit your application on or before 9th October 2026

Remote Work :

No

Employment Type :

Contract