Remote Simplified Chinese Transcriptionist for AI Training

Dorado; United States; Remote; USD 28,000 - 47,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Flexible hours

Job summary

Alignerr is seeking a Simplified Chinese Audio Transcriptionist (AI Training) to create accurate verbatim transcripts of spoken Chinese audio. This remote, hourly contract role requires native-level Simplified Chinese, strong listening skills, and the ability to follow detailed style guidelines.

You will identify speakers, capture crosstalk and nuances, and work asynchronously with flexible hours while maintaining high quality across large volumes of data.

Qualifications

• Native Simplified Chinese with strong listening and writing skills.
• Ability to transcribe verbatim and follow style guidelines.
• Detail-oriented and able to manage multiple speakers.

Responsibilities

• Listen to audio recordings in Chinese and produce accurate, verbatim transcripts in Simplified Chinese.
• Identify and distinguish between multiple speakers within a single recording.
• Capture crosstalk, overlapping speech, filled pauses, and self-corrections.
• Handle challenging audio conditions and background noise.
• Apply detailed style guides consistently across transcriptions.
• Flag unclear segments and maintain high accuracy across large volumes.
• Work independently and asynchronously on your own schedule.

Skills

Native Simplified Chinese

Excellent listening

Attention to detail

Independent work

Fluent writing

Tools

Annotation platforms

Data labeling tools

Subtitle editing

Job description

Alignerr is seeking a Simplified Chinese Audio Transcriptionist (AI Training) to create accurate verbatim transcripts of spoken Chinese audio. This remote, hourly contract role requires native-level Simplified Chinese, strong listening skills, and the ability to follow detailed style guidelines.

You will identify speakers, capture crosstalk and nuances, and work asynchronously with flexible hours while maintaining high quality across large volumes of data.