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.
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