Mercor
MercorVerified listing
Remote

Audiobook QA Expert - English US (Remote)

20–25/hr
Remote · Remote — preferred: United States
Posted September 15, 2026
hourly
10 openings
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Listing checked September 15, 2026 · pay as published by Mercor

Overview

Mercor seeks native English speakers who already listen to audiobooks to review AI-narrated text-to-speech titles in US English. You will judge how natural, accurate, and enjoyable each narration sounds, then mark the spots where the synthesized voice slips. The work is remote and part-time at about 20 hours per week, or 4 hours each day. Candidates can live anywhere, but the team prefers people based in a region where English is a native language. Your ear and your error reports help the models behind these audiobooks improve.

What You'll Do5

  • 1Listen to AI-narrated audiobooks in English and rate how natural, accurate, and enjoyable the narration sounds.
  • 2Flag errors in synthesized speech, including skipped, added, or mispronounced words; numbers read wrong; abbreviations expanded wrong; odd phrasing or intonation; and audio glitches or artifacts.
  • 3Assign each issue a category and mark the exact span where it occurs inside the review tool.
  • 4Report on listener satisfaction and separate places where the narration feels natural from places where it breaks the experience.
  • 5Stay focused across many hours of audio and keep your error notes precise.

Requirements8

  • 1Native or near-native fluency in US or North American English.
  • 2Active audiobook listener with real opinions about what makes a good listen.
  • 3Working English strong enough to write clear reports and talk with the team.
  • 4Some background in annotation, labeling, transcription, proofreading, linguistics, or another detail-oriented review task.
  • 5A sharp, patient ear and the discipline to stay accurate over long listening sessions.
  • 6Reliable availability of about 20 hours per week on a part-time basis.
  • 7Nice to have: prior work on AI training data, model evaluation, or audio/QA annotation projects.
  • 8Nice to have: a background in language, editing, voice, or audio production.

Who Should Apply

An ideal candidate listens to audiobooks often and can point to specific annotation, transcription, proofreading, or linguistics work in their history. The role suits someone who can commit about 20 hours per week and who enjoys picking apart audio errors without losing patience. The role is less suitable for people who want full-time hours, who seldom listen to audiobooks, or who have no review or labeling experience. Applicants lose fit score when they describe themselves as audiobook fans without naming any annotation, QA, or transcription projects. Another common miss is claiming availability that does not match the 20-hour schedule.

Salary Insight

The source lists a rate of $20.00 to $25.00 per hour. That range sits in the common band for remote AI data review and audio QA work at an entry to mid level, and your offer may land at either end based on prior annotation or audio experience.

Pay and demand for Language & Linguistics roles

Aggregated

Typical pay

$30/hour

This role

$20–$25/hr

Most Language & Linguistics roles pay $22–$48 per hour. This role's pay falls inside that range.

Based on 257 similar roles that publish pay · 101 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
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Hiring most right now: SME Careers (105) · micro1 (77) · Mercor (37)

Most requested skills · share of roles

  • localization
    32%
  • translation quality review
    29%
  • translation
    27%
  • proofreading
    27%

Figures from Language & Linguistics roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Location

Typeremote
LocationRemote — preferred: United States
This is a remote position

Compensation

$20–25/hr

Required Skills

audiobook qatext-to-speechspeech synthesisaudio annotationdata labelingtranscriptionproofreadinglinguisticsenglish usquality assuranceerror annotationaudio reviewai training datamodel evaluationlistening comprehension

Application Tip

In your application, name the annotation, transcription, or proofreading projects you have completed and note how many hours of audio you reviewed. State your availability for the 20-hour schedule, and give one example of a narration error you caught in a past project.

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