Mercor
MercorVerified listing
Remote

Sonic Audit Specialist - French (Remote)

41.50/hr
Remote
Posted September 18, 2026
hourly
5 openings
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Listing checked September 18, 2026 · pay as published by Mercor

Overview

Mercor seeks native and near-native French speakers from France to audit AI training data, not create it. The work covers two Amazon Sonic collections: multilingual transcription audit and forced alignment audit. Each task runs at 5.00 audit hours, and every pass or fail verdict needs a short written rationale in English. A calibration phase comes before production work.

What You'll Do8

  • 1Listen to recordings of human or agent speech in French and compare each clip against the annotator transcript.
  • 2Apply the Sonic error-code set to tag every applicable issue, not just the first one you notice.
  • 3Assign a pass or fail verdict and draft a plain-language rationale in English.
  • 4Review word-level forced alignment segments, check start and end timestamps against the spoken word, and verify that the reference transcription matches the audio.
  • 5Correct timestamp boundaries, split or merge segments, add missing words, or remove segments with no word.
  • 6Flag critical errors at the top of the rationale so readers see the failure reason first.
  • 7Complete the required calibration phase before moving to production tasks.
  • 8Work through tasks at the stated 5.00 audit hours per task.

Requirements7

  • 1Native or near-native command of French as spoken in France. Birth and upbringing in a dominant France French region, or five or more years of residence there, satisfies this bar.
  • 2Strong English reading and writing. All conventions, error codes, and audit rationales appear in English.
  • 3Discipline in applying a written rubric across hundreds of judgments instead of relying on instinct.
  • 4Prior transcription, subtitling, localization, linguistic annotation, or QA experience.
  • 5Skill in telling similar sounds apart and finding where one word ends and the next begins in continuous speech.
  • 6Ability to distinguish true acoustic ambiguity from a clear annotator error.
  • 7Bonus: AI data annotation, model evaluation, a phonetics or linguistics background, or audio editing and waveform tools.

Who Should Apply

The ideal candidate grew up in France or can prove five or more years of residence there, reads English rulebooks with ease, and applies written standards the same way across many tasks. Prior transcription, subtitling, localization, annotation, or QA work makes the fit stronger. The role suits people who enjoy careful listening and written reasoning, not those who treat audio review as volume work or expect to generate new content. Applicants often lose fit when they cannot document France French residence, tag only one error code per task, or submit thin English rationales.

Salary Insight

The posting lists $41.50 per hour. That rate sits above many general annotation jobs and reflects the specialized language audit work here, which calls for native France French and strict rubric use. The source gives no other pay range or bonus detail.

Pay and demand for Language & Linguistics roles

Aggregated

Typical pay

$30/hour

This role

$42/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

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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%

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Location

Typeremote
LocationRemote
This is a remote position

Compensation

$41.50/hr

Required Skills

frenchenglishtranscriptionforced alignmentaudio annotationaudio editingwaveformlinguisticsphoneticsdata annotationmodel evaluationsubtitlinglocalizationquality assurancetimestampingsegmentationamazon sonicerror coding

Application Tip

In your application, state your France French background and any five-year residence proof in the first lines, then name a specific rubric, error-code system, or audio tool you have used, such as forced alignment, waveform editing, or subtitling software.

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