Description

  • Accurately Tag Data:
    • Label images, text, audio, or video data following detailed guidelines to ensure high-quality training datasets for machine learning models.
  • Quality Assurance:
    • Review and validate labeled data to ensure consistency, accuracy, and adherence to annotation standards.
  • Follow Annotation Guidelines:
    • Understand and apply evolving annotation rules and edge cases to maintain labeling accuracy.
  • Handle Large Datasets:
    • Efficiently tag and manage large volumes of data while maintaining high throughput and precision.
  • Provide Feedback on Edge Cases:
    • Identify ambiguities or inconsistencies in annotation instructions and suggest improvements

Key Skills
Education

Any Gradute

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