Remote Mandarin Transcription Specialist for AI Training

YO AI Labs; Boston (MA); Remote; USD 34,000 - 55,000; Full time

Job summary

YO AI Labs seeks Mandarin Transcription Experts as contractors to contribute to an AI training project, delivering accurate verbatim transcripts from Mandarin and English audio. No AI background required; language expertise and transcription skills matter.

You will listen to audio, review and correct transcripts for accuracy, apply annotations, and follow project guidelines. Remote collaboration with coordinators is expected, with deadlines and high-quality output driving improvements in

Qualifications

• Mandarin audio transcription with verbatim accuracy.
• Strong Mandarin-English listening comprehension.
• Attention to detail and proofreading for quality control.

Responsibilities

• Listen to Mandarin and English audio recordings and produce accurate, verbatim transcripts.
• Review, proofread, and correct transcripts for accuracy, grammar, and consistency.
• Apply required annotations, tags, and contextual notes according to project guidelines.
• Follow transcription standards, formatting requirements, and quality guidelines.
• Identify and resolve unclear speech, accents, overlapping dialogue, and ambiguous content.
• Collaborate remotely with project coordinators on linguistic questions.
• Meet project deadlines and maintain consistent transcription quality.
• Provide linguistic insights to support AI training and speech-language model development.

Skills

Mandarin Audio Transcription

Audio Transcription

Mandarin & English Listening Compreh

Attention to Detail

Proofreading & Quality Control

AI Training / Data Annotation

Job description

YO AI Labs seeks Mandarin Transcription Experts as contractors to contribute to an AI training project, delivering accurate verbatim transcripts from Mandarin and English audio. No AI background required; language expertise and transcription skills matter.

You will listen to audio, review and correct transcripts for accuracy, apply annotations, and follow project guidelines. Remote collaboration with coordinators is expected, with deadlines and high-quality output driving improvements in