Associate

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.