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English Voice Coach

$40–65/hr · micro1 · remote

Open to people living anywhere except 21 places, per micro1's own policy (checked 9 Oct 2026). This listing doesn't name countries itself.

The 21 places micro1 leaves out

Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russia, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, Yemen, Ethiopia.

Check history

CheckedStatusSlots leftChangeHow
20 Oct 2026Open50–Script, platform’s board

The script reads the platform’s own job board every night. A job not confirmed for 10 days comes off the list.

Most people who don't get in fail the screening, not the CV. Five minutes here first: How to pass the micro1 AI interview with Zara.

What the work is

Job Summary: We are looking for native English speakers from Ireland, Australia, and the United Kingdom to support an AI training project focused on evaluating English audio recordings. In this role, you will use your knowledge of natural speech, pronunciation, accents, and language to assess audio quality and provide accurate feedback.

Key Responsibilities

  • Listen to and evaluate short English audio recordings.
  • Assess whether speech sounds natural and native to the speaker's target accent or region.
  • Evaluate pronunciation, accent, fluency, tone, and natural speech patterns.
  • Identify inconsistencies or unnatural elements in spoken English.
  • Provide clear and structured feedback on audio recordings.
  • Follow project guidelines and maintain accuracy and consistency.

Who gets hired

  • Native-level English proficiency with strong knowledge of your native/regional English accent.
  • Strong understanding of pronunciation and natural speech patterns.
  • Excellent listening and analytical skills.
  • Strong attention to detail.
  • Ability to provide clear written feedback in English.
  • Comfortable working independently in a remote environment.

Preferred Qualifications

  • Experience in voice coaching, voice-over, or speech analysis.
  • Background in music, audio engineering, or sound production.
  • Experience in linguistics, phonetics, language teaching, media, or communications.
  • Previous experience analyzing or evaluating speech/audio recordings is a plus.

The platform posted this on 19 Oct 2026.

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