Appen
Appen
Appen develops the data foundations that support artificial intelligence products and applications. Founded in 1996, the company provides scalable services across the AI data lifecycle, including data collection, curation, model fine-tuning, and monitoring. Its work combines human expertise with AI to help enterprises use their data more effectively. With experience spanning artificial intelligence, consulting, and marketing, Appen supports organizations developing and deploying AI technologies across industries.

Egyptian Arabic Transcription Specialist

Transcribe Egyptian Arabic audio to support CrowdGen’s AI speech recognition, with accurate timestamps, speaker labels, and notes on non-speech sounds.

Description

  • Review audio and refine transcripts to produce quality data for language models.
  • Convert recordings into accurate written transcripts.
  • Preserve speech as spoken, including pauses, fillers, repetitions, and unfinished sentences.
  • Add timestamps that align with the audio.
  • Identify and label each speaker in conversations.
  • Annotate non-speech sounds, including laughter, background noise, and unclear audio.
  • Maintain high transcription quality.
  • Complete assigned task units to the required quality standards.

Requirements

  • Strong knowledge of Arabic spelling conventions.
  • Fluency in the Egyptian dialect; applicants may be based anywhere.
  • Good English reading comprehension.
  • Reliable internet connection.
  • Careful attention to detail.
  • Ability to review examples and apply the given rules to data.
  • Previous transcription experience.
  • Previous experience working with audio data.
  • Access to a PC, laptop, or iPad.

Benefits

  • Flexible schedule with hours you choose.
  • Remote work from anywhere.
  • Pay designed to exceed the minimum wage in your local market.
  • Earnings can increase with the amount of work completed.

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