Remote Simplified Chinese Transcriptionist for AI Training

Alignerr Corp.; New York (NY); Remote; USD 21,000 - 34,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking detail-oriented transcriptionists in the New York City area to produce accurate, verbatim transcripts of spoken Simplified Chinese audio. This fully remote, hourly contract role emphasizes high accuracy and adherence to detailed style guidelines, with the ability to work independently and on your own schedule.

Applicants should be native or near-native in Simplified Chinese, possess strong listening skills, and be comfortable handling challenging audio, crosstalk, and

Qualifications

• Native or near-native fluency in Simplified Chinese.
• Excellent listening and transcription accuracy.
• Ability to follow detailed style guides and formatting conventions.

Responsibilities

• Listen to Chinese audio and produce accurate verbatim transcripts in Simplified Chinese.
• Identify and distinguish multiple speakers within a recording.
• Capture crosstalk, overlapping speech, pauses, false starts and self-corrections.
• Handle challenging audio conditions such as background noise or low quality recordings.
• Apply detailed style guidelines consistently across all transcripts.
• Flag unclear or unintelligible segments following protocols.
• Maintain high accuracy and consistency across large volumes of content.
• Work independently and asynchronously on your schedule.

Skills

Native Chinese

Listening skills

Detail-oriented

Job description

Alignerr is seeking detail-oriented transcriptionists in the New York City area to produce accurate, verbatim transcripts of spoken Simplified Chinese audio. This fully remote, hourly contract role emphasizes high accuracy and adherence to detailed style guidelines, with the ability to work independently and on your own schedule.

Applicants should be native or near-native in Simplified Chinese, possess strong listening skills, and be comfortable handling challenging audio, crosstalk, and