- Perform data annotation and labeling for text, image, and audio datasets.
- Apply sentiment labels, image bounding boxes, text classifications, and audio transcriptions as required.
- Follow project-specific annotation guidelines and quality standards.
- Review and validate annotated datasets for accuracy and consistency.
- Complete assigned data batches within defined productivity and quality targets.
- Identify ambiguous or unclear data and escalate issues to the supervisor.
- Rework annotations based on quality-review feedback.
- Participate in calibration sessions to maintain consistent labeling standards.
- Support the creation of training, validation, and test datasets.
- Provide feedback to improve annotation workflows and guidelines.
- Maintain accuracy, attention to detail, and consistency across assigned projects.
- Stay updated with evolving AI/ML data annotation practices and tools.