remote
Data Labeler
Data Labeler
The Data Labeler will perform high-volume data labeling and annotation for speech and voice datasets, ensuring accuracy and consistency. Responsibilities include working with audio and language data for transcription, categorization, and tagging, while adapting to evolving guidelines.
About the role
About the Role
We are seeking a Data Labeler to execute high-volume data labeling and annotation tasks across speech and voice datasets. This role requires meticulous attention to detail and adherence to detailed guidelines to ensure consistency, accuracy, and data integrity at scale.
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.