Cantonese Transcription Expert - Remote AI Training Data

YO AI Labs; California (MO); Remote; USD 34,000 - 83,000; Full time

Job summary

YO AI Labs invites a Cantonese Transcription Expert to support a customer project focused on professional audio transcription and AI training. You will leverage your Cantonese skills to create accurate data that helps improve next-generation AI systems, with a flexible, remote work setup.

No prior AI experience is required; linguistic and transcription expertise are key. You will transcribe Cantonese and English audio, review automated transcripts, and contribute linguistic feedback to enhance

Qualifications

• Cantonese transcription proficiency with attention to dialects.
• Ability to transcribe Cantonese and English audio accurately.
• Experience with linguistic annotation and QA in data labeling.

Responsibilities

• Transcribe and annotate Cantonese and English audio recordings accurately.
• Review and correct automated transcripts.
• Capture language nuances, accents, and speaker intent.
• Produce time-stamped transcripts.
• Proofread and quality-check transcripts.
• Resolve unclear audio content with project leads.
• Apply linguistic annotations for AI training data.
• Provide linguistic feedback to improve quality and workflows.
• Complete assignments on schedule.
• Maintain confidentiality and data security.

Skills

Cantonese Audio Transcription

Audio Transcription

Cantonese & English Listening Compreh

Attention to Detail

Proofreading & Quality Control

Linguistic Annotation

AI Training / Data Annotation

Job description

YO AI Labs invites a Cantonese Transcription Expert to support a customer project focused on professional audio transcription and AI training. You will leverage your Cantonese skills to create accurate data that helps improve next-generation AI systems, with a flexible, remote work setup.

No prior AI experience is required; linguistic and transcription expertise are key. You will transcribe Cantonese and English audio, review automated transcripts, and contribute linguistic feedback to enhance