Mandarin Transcription Expert Remote
Job Location:
San Francisco, CA - USA
Hourly Salary:
$ 20 - 30
Posted:
16 September 2026 (12 hours ago)
Application Deadline:
14 December 2026
Vacancies:
1 Vacancy
Job Summary
Mandarin Transcription Expert
Role Type: Contractor
Location: Remote Worldwide
Schedule: Flexible
Role Overview
micro1 is engaging Mandarin Transcription Experts to contribute to an AI training project focused on creating accurate high-quality transcriptions from Mandarin and English audio. Your linguistic expertise will help improve how next-generation AI systems understand spoken language.
No prior AI experience is requiredyour language and transcription expertise are what matter.
Scope of Work
- Listen to Mandarin and English audio recordings and produce accurate verbatim transcriptions.
- 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.
Required Skills
- Mandarin Audio Transcription
- Audio Transcription
- Mandarin & English Listening Comprehension
- Attention to Detail
- Proofreading & Quality Control
- AI Training / Data Annotation
Preferred Qualifications
- Native or near-native Mandarin fluency with excellent listening and comprehension skills.
- Previous experience in professional Mandarin transcription or audio annotation.
- Strong attention to detail and ability to produce highly accurate transcripts.
- Experience with transcription or annotation platforms is a plus.
- Ability to independently manage tasks and deadlines in a remote environment.
- Experience working with Mandarin-English bilingual audio is preferred.
- Interest in AI training speech recognition and language technology.