Mercor
MercorVerified listing

Audiobook QA Reviewer - Brazilian Portuguese

15–20/hr
Remote · Remote — preferred: Brazil
hourly
10 openings
Posted September 13, 2026
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Listing checked September 17, 2026 · pay as published by Mercor

Key details

Pay
$15–20/hr
Location
Remote · Remote — preferred: Brazil
Job type
hourly
Openings
10
Posted
September 13, 2026

Overview

Mercor builds a team of native Brazilian Portuguese speakers to judge AI-narrated audiobooks. You will listen to text-to-speech narration and mark where pronunciation, pacing, or audio quality fails. The role runs remote for about 20 hours each week, about 4 hours per day. Candidates based in Brazil get preference, though the work is open to any location.

What You'll Do5

  • Review AI-narrated audiobooks in Brazilian Portuguese and rate how natural, accurate, and engaging each one sounds.
  • Identify speech errors such as skipped words, added words, mispronunciations, wrong number reading, bad abbreviation expansion, odd intonation, and audio artifacts.
  • Label every issue by category and mark the exact audio segment where it happens using the review platform.
  • Document listener satisfaction and note which passages feel human versus which ones disrupt the experience.
  • Sustain focus across long listening sessions while keeping error reports consistent.

Requirements8

  • Native or near-native command of Brazilian Portuguese.
  • Active audiobook listener with real opinions about narration quality.
  • Working English for clear reports and team communication. You do not need to be bilingual.
  • Experience in annotation, labeling, transcription, proofreading, linguistics, or similar review work.
  • Sharp, patient ear and discipline to stay accurate over extended audio review.
  • Availability around 20 hours per week on a part-time basis.
  • Prior work on AI training data, model evaluation, or audio QA annotation.
  • Background in language, editing, voice, or audio production.

Who Should Apply

The right person listens to audiobooks in Brazilian Portuguese as a habit and can explain why a narrator sounds off. You have some annotation, transcription, proofreading, or linguistics background and can write clear English reports about audio issues. This role fits someone who can commit about 20 hours per week and keep focus through hours of listening. The job does not suit people who want full-time hours, lack native-level Brazilian Portuguese, or dislike repetitive review tasks. Candidates often lose fit when they cannot point to specific audio QA or annotation work, or when they call themselves audiobook fans without showing analytical listening habits.

Salary Insight

Pay ranges from $15.00 to $20.00 per hour. That band matches entry-level to junior annotation and QA work, though native language skill and audio review experience can push candidates toward the upper end. This hourly range sits near typical pay for part-time language and audio annotation projects, with the top of the band often reserved for reviewers who bring prior AI data or audio QA 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

$15–20/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

Brazilian PortugueseAudiobook ReviewText To SpeechSpeech SynthesisAudio QaAnnotationData LabelingTranscriptionProofreadingLinguisticsModel EvaluationAI Training DataError CategorizationAudio Quality AssuranceListening TestsEnglish

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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