Data Labelling Engineer

• Support data classification standards and taxonomy; analyze, identify, and label data samples to ensure accuracy and recall
• Collaborate with R&D to improve algorithms; analyze mislabeled (bad case) data and suggest improvements
• Understand business data across teams; enhance labeling standards and sample databases
• Improve annotation workflows; optimize sampling and review processes to increase efficiency

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