Associate at Digital Divide Data

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Job Detail

  • Job ID 1018151
  • Experience  3 Years
  • Qualifications  Diploma

Job Description

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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