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Medium — niche AI annotation skills but mid-level experience and metro location increase applicant density.
High — role requires specialized AI data annotation, LiDAR, and computer vision QA skills not easily transferable.
High — explicit 3–5 years requirement plus mandatory annotation, computer vision, and LiDAR expertise.
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Accountable for annotation quality governance including audit frameworks, calibration management, and quality improvement across advanced AI annotation programs.
Validate annotation outputs against client guidelines and quality targets through structured audits and continuous quality analysis.
Prepare quality scorecards, dashboards, manage gold-standard datasets, and participate in client-facing quality reviews to drive delivery improvements.
3–5 years of annotation quality assurance experience.
Strong knowledge of computer vision annotations, LiDAR labeling, tracking workflows, and quality scoring methodologies.
Location requirement: Kolkata, India.
Work Experience Required: 3–5 years in annotation quality assurance.
Experienced in AI data services, data annotation, or computer vision data operations with exposure to advanced annotation QA programs.
Comfortable working with multiple stakeholders including annotators, team leads, project stakeholders, and clients on quality improvement initiatives.
Skilled in quality analytics such as trend analysis, root cause identification, and benchmark evaluations within an AI data environment.