DDD delivers high-quality, competitively priced business process outsourcing (BPO) solutions to clients worldwide. At the same time, DDD’s innovative social model enables talent from underserved populations to access professional opportunities and earn lasting higher income, including youth from low-income families in developing countries, as well as military spouses and veterans in the USA. This model, established by DDD in 2001, is now called "Impact Sourcing.” DDD is recognized among leading commercial service providers in the Global Outsourcing 100--and also consistently ranked as one of the Top 100 NGOs in the world.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.