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Associate – VLA Reviewer at Digital Divide Data | Ajira Zone
Digital Divide Data
Associate – VLA Reviewer Information Technology Full-Time Mid-level(3-5 yrs)
Job Description Role Overview
As an Associate – VLA Reviewer , you will be responsible for ensuring the high quality and accuracy of autonomous vehicle data annotation. This role involves reviewing outputs to ensure alignment with project guidelines and interpreting complex driving environments including agent behavior and spatial relationships.
Key Responsibilities
Reviewing autonomous vehicle data annotation outputs to ensure quality, consistency, and alignment with project guidelines.
Interpreting complex driving scenes involving multiple agents, objects, interactions, and environmental context.
Assessing agent actions, intent, object relationships, spatial reasoning, and task sequences.
Supporting Vision-Language Action (VLA) workflows, including vision-language alignment, action grounding, temporal understanding, and contextual scene interpretation.
Identifying and resolving ambiguous or edge-case annotation scenarios using sound judgment and guideline interpretation.
Applying annotation standards consistently across production review tasks.
Participating in calibration sessions, QA discussions, and feedback loops to support ongoing quality improvement.
Providing clear, structured, and actionable feedback to annotators and project stakeholders.
Escalating unclear guidelines, tooling issues, or recurring quality gaps to project leads as appropriate.
Job Requirements
Experience: Minimum 3 years of experience in autonomous vehicle data annotation.Specific Expertise: Minimum 1 year of experience working on Vision-Language Action (VLA) projects.Technical Proficiency: Experience with complex scene understanding tasks including object interactions, agent behavior, spatial reasoning, action prediction, intent interpretation, and task-sequence analysis.Review Skills: Experience in review workflows, annotation guideline interpretation, and edge-case handling within production environments.Qualifications: BA/BSc/HND, Diploma, or KCSE qualification.
How to Apply 
