Digital Divide Data (DDD) delivers high-quality, competitively priced business process outsourcing (BPO) solutions to clients worldwide. We are currently seeking an Associate – VLA Reviewer to join our team in Nairobi. In this role, you will be responsible for reviewing autonomous vehicle data annotation outputs to ensure quality, consistency, and alignment with project guidelines.
Responsibilities
Review autonomous vehicle data annotation outputs to ensure quality, consistency, and alignment with project guidelines.
Support Vision-Language Action (VLA) workflows, including vision-language alignment, action grounding, temporal understanding, and contextual scene interpretation.
Identify and resolve ambiguous or edge-case annotation scenarios using sound judgment and guideline interpretation.
Apply annotation standards consistently across production review tasks.
Participate in calibration sessions, QA discussions, and feedback loops to support ongoing quality improvement.
Provide clear, structured, and actionable feedback to annotators and project stakeholders.
Escalate unclear guidelines, tooling issues, or recurring quality gaps to project leads as appropriate.
Requirements
Minimum 3 years of experience in autonomous vehicle data annotation.
Minimum 1 year of experience working on Vision-Language Action (VLA) projects.
Experience working with complex scene understanding tasks, including object interactions, agent behavior, spatial reasoning, action prediction, intent interpretation, and task-sequence analysis.
Experience in review workflows, annotation guideline interpretation, and edge-case handling within production environments.
Qualification: BA/BSc/HND, Diploma, or KCSE.
How to Apply
Interested and qualified candidates should apply online via the Digital Divide Data application portal on smrtr.io by clicking the link provided below.
