We are seeking AI Data Labelers to support the development of advanced voice and conversational AI systems. This role focuses on audio transcription, annotation, and multilingual speech data processing.
You will help train AI models by converting real-world conversations into structured, high-quality datasets. If you have strong listening skills and attention to detail, this role is a great fit.
- Transcribe audio recordings accurately (including speaker labels and timestamps when required)
- Annotate and label speech and conversational data
- Capture nuances such as tone, pauses, and speaker changes
- Follow detailed annotation and transcription guidelines
- Flag unclear, low-quality, or ambiguous data
- Maintain high accuracy and consistency across tasks
- Mandarin
- Cantonese
- Korean
- Vietnamese
- Italian
- British English
- Native or near-native fluency in at least one required language
- Strong listening and comprehension skills
- High attention to detail and accuracy
- Ability to follow structured instructions and guidelines
- Comfortable working on repetitive, task-based projects
- Reliable internet connection and ability to work remotely
- Experience in transcription, captioning, or subtitling
- Experience with data annotation or labeling tools
- Familiarity with AI, machine learning, or NLP
- QA or review experience
- Audio transcription
- Data annotation
- Captcha handling
- File/data organization
- Basic Boolean search
- Time and task management
- Fully remote (work from anywhere)
- Flexible hours (project-based)
- Ongoing work opportunities based on performance