Mercor
MercorVerified listing

Audiobook QA Expert - English US

20–25/hr
Remote · Remote — preferred: United States
hourly
10 openings
Posted September 13, 2026
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Listing checked September 16, 2026 · pay as published by Mercor

Key details

Pay
$20–25/hr
Location
Remote · Remote — preferred: United States
Job type
hourly
Openings
10
Posted
September 13, 2026

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

  • Listen to AI-narrated audiobooks in English and rate how natural, accurate, and enjoyable the narration sounds.
  • Flag 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.
  • Assign each issue a category and mark the exact span where it occurs inside the review tool.
  • Report on listener satisfaction and separate places where the narration feels natural from places where it breaks the experience.
  • Stay focused across many hours of audio and keep your error notes precise.

Requirements8

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

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$20–25/hr

Taken from the listing itself.

Typical pay · estimated

$68/hour

Median of 1,289 similar roles that publish pay · 303 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $38–$95 per hour. This role's pay sits below that range.

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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Listed in last 30 days
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Most requested skills · share of roles

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

Compare your resume against these roles

Required skills

Audiobook QaText To SpeechSpeech SynthesisAudio AnnotationData LabelingTranscriptionProofreadingLinguisticsEnglish UsQuality AssuranceError AnnotationAudio ReviewAI Training DataModel EvaluationListening Comprehension

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Mercor’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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