ML Annotation QA Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ML Annotation QA Engineer based in India. As an ML Annotation QA Engineer, you will own the quality and reliability of annotated data supporting computer vision and machine learning systems. You will focus on the judgment-intensive analysis that requires strong technical reasoning and cannot be reliably outsourced. The role combines data analysis, quality assurance, root cause investigation, process design, and cross-functional collaboration with ML and engineering teams. You will build performance tracking systems that reveal patterns across facilities, equipment, data formats, and time. Your findings will help distinguish annotation errors, model regressions, tooling issues, and genuine degradation in real-world environments. Starting with warehouse forklift vision and barcode localization, you will help establish repeatable quality practices that can scale across new AI and robotics programs.