D

Associate

Digital Divide Data

Today
New

Job descriptions & requirements

ABOUT THE COMPANY

DDD delivers digital content, data, and research services to clients worldwide
Today, we successfully deliver work to hundreds of international clients from four operation centers around the globe. From a small data entry operation in Cambodia founded in 2001, the company now offers a wide range of digital content and technology services. DDD is the largest technology-related employer in Cambodia and Laos and recently won Kenya's Vision 2030 Award for the Best BPO. DDD's unique Impact Sourcing model has developed a growing network of young professionals and propelled hundreds of families out of poverty.

JOB SUMMARY

Education RequirementsDiploma or higher qualification in a relevant field such as:Computer ScienceInformation TechnologyEngineering (Electrical, Computer, Geospatial, or related)Data ScienceGeospatial StudiesOr equivalent technical discipline

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 SKILLS

IT support, Risk management, Machine Learning (ML), Troubleshooting

REQUIRED EDUCATION

Diploma, Associate's degree

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