Welo Data is looking for detail-oriented and reliable individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. The role focuses on building datasets for AI systems through data labeling and annotation, ensuring accuracy and consistency in the data used for training AI models.
Responsibilities:
- Execute high-volume data labeling and annotation tasks across speech and voice datasets
- Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
- Work with audio and language data, including transcription, categorization, and tagging
- Maintain strong throughput while meeting quality expectations
- Escalate unclear or ambiguous cases appropriately
- Adapt to evolving guidelines and workflows as systems and requirements change
- Support baseline data production needs for AI training pipelines
- Contribute to team calibrations and quality alignment sessions