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Simplified Chinese - Audio Transcript Editor

Alignerr · Remote · Voice / audio

Simplified Chinese - Audio Transcript Editor is an open role at Alignerr, available remotely, with pay listed as $10–$35/hr.

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At a glance

Pay
$10–$35/hrStated by Alignerr
Location
Remote
Work type
Voice / audio
Listed
Since Oct 4, last confirmed Oct 22

How the pay compares

This role$35
Alignerr median$75
Writing / Creative roles median$55
All roles median$60

Higher than 9% of the 21 distinct hourly rates advertised for Writing / Creative roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Alignerr’s listing

“Chinese Audio Transcript Editor (AI Training) About the Role What if your precision with Simplified Chinese and your sharp listening skills could directly shape how AI understands and processes spoken language for over a billion people?”
Show the full listing

Chinese Audio Transcript Editor (AI Training) About the Role What if your precision with Simplified Chinese and your sharp listening skills could directly shape how AI understands and processes spoken language for over a billion people? We're looking for detail-oriented Audio Transcript Editors to clean up, correct, and polish audio transcripts — ensuring every word, character, and timestamp is accurate. This is meticulous, meaningful work at the intersection of language and technology. You'll listen closely, compare audio against existing transcripts, and make word-level corrections that teach AI systems to truly understand spoken Chinese. If you're the kind of person who notices when a single character is wrong or a timestamp is off by half a second, this role is made for you. This is a fully remote, flexible contract role. No prior AI experience required — just native-level Simplified Chinese, excellent listening skills, and a commitment to precision. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Listen to audio recordings and compare them against existing transcripts in Simplified Chinese Correct errors in transcription — including wrong characters, missing words, misheard phrases, and punctuation issues Ensure word-level accuracy and verify exact timing and alignment of transcript segments Follow detailed style and formatting guidelines consistently across all tasks Flag audio quality issues, ambiguous speech, or segments that require further review Maintain high accuracy and consistency across large volumes of transcript data Work independently on task-based assignments at your own pace and on your own schedule Who You Are Native or near-native proficiency in Simplified Chinese — reading, writing, and listening Exceptional listening skills with the ability to parse speech clearly, even in challenging audio conditions Extremely detail-oriented with a methodical, patient approach to repetitive preci

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About Alignerr: part of Labelbox. See the full profile →

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Frequently asked questions

How do I apply for the Simplified Chinese - Audio Transcript Editor role at Alignerr?

Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.

Is the Simplified Chinese - Audio Transcript Editor role at Alignerr remote?

Yes - Alignerr lists this role as remote.

What does the Simplified Chinese - Audio Transcript Editor role at Alignerr pay?

Alignerr lists this role's pay as $10–$35/hr, quoted from the listing rather than estimated.

What kind of work is Simplified Chinese - Audio Transcript Editor?

Voice / audio. AI training, evaluation, coding, writing and specialist review

Is Alignerr a legitimate AI-training platform?

Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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