Remote Hebrew Transcription Specialist — Verbatim & Precise

CrowdGen by Appen

United States

Teletrabalho

USD 21 000 - 39 000

Tempo parcial

Há 7 dias
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Vantagens oferecidas por esta oferta de emprego

Flexible hours
Remote work
Fair pay globally
Scalable earnings

Resumo da oferta

CrowdGen by Appen is seeking a remote Independent Contractor to transcribe Hebrew audio with verbatim accuracy. You will log in via a browser-based platform, produce precise transcripts including stutters and fillers, and timestamp segments with tight accuracy.

This project emphasizes high-quality transcription, speaker labeling for multi-person conversations, and event annotation for non-speech sounds. Strong reliability and 10+ hours weekly are required.

Qualificações

  • Native-level fluency in Hebrew, including regional accents and informal speech.
  • Strong listening comprehension and attention to detail.
  • Ability to produce verbatim transcriptions, including stutters, repetitions and filler words.
  • Experience in transcription, annotation, or linguistics is an advantage.
  • Comfortable using browser-based tools and a reliable internet connection.
  • Access to a laptop/desktop (mobile devices not supported) and 10+ hours per week.

Responsabilidades

  • Listen to real audio recordings and produce verbatim transcripts.
  • Timestamp segments with less than 500ms deviation.
  • Label speakers for conversations with 2 to 8 participants.
  • Annotate non-speech elements (laughter, background noise, unintelligible audio).

Conhecimentos

Verbatim transcription
Attention to detail
Listening comprehension
Reliability / availability

Formação académica

Linguistics background (advantage)

Ferramentas

Browser-based tools

Descrição da oferta de emprego

CrowdGen by Appen is seeking a remote Independent Contractor to transcribe Hebrew audio with verbatim accuracy. You will log in via a browser-based platform, produce precise transcripts including stutters and fillers, and timestamp segments with tight accuracy.

This project emphasizes high-quality transcription, speaker labeling for multi-person conversations, and event annotation for non-speech sounds. Strong reliability and 10+ hours weekly are required.

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