Associate at Digital Divide Data

Responsibilities

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.

Required Experience

The ideal candidate will have:

• Minimum 3 years of experience in autonomous vehicle data annotation.
• Minimum 1 year of experience working on Vision-Language Action projects.
• Experience working with complex scene understanding tasks, including:
  • Object interactions
  • Agent behavior
  • Spatial reasoning
  • Action prediction
  • Intent interpretation
  • Task-sequence analysis
• Experience in review workflows, annotation guideline interpretation, and edge-case handling within production environments.