Data Annotator

The Data Annotator produces high-quality labeled speech, text, and audio data used in machine learning training, evaluation, and human-in-the-loop review workflows. Responsibilities include listening to and reviewing recorded speech, audio, and text data, annotating speech, language, and audio data according to established guidelines, and adapting to evolving annotation guidelines and project requirements.

Requirements

• Listen to and review recorded speech, audio, and text data
• Annotate speech, language, and audio data according to established guidelines
• Apply consistent labeling across large datasets
• Adapt to evolving annotation guidelines, task types, and project requirements
• Handle unique or experimental data annotation requests
• Identify and flag ambiguities, edge cases, or data quality issues
• Contribute feedback to improve annotation guidelines, workflows, and tools
• Meet quality, throughput, and turnaround expectations for assigned tasks
• Use AI-assisted tools to accelerate annotation where appropriate