Education Requirements

• Diploma or higher qualification in a relevant field such as:

• Computer Science

• Information Technology

• Engineering (Electrical, Computer, Geospatial, or related)

• Data Science

• Geospatial Studies

• Or equivalent technical discipline

As an Associate – VLA Reviewer, you will be responsible for:

• 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 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.