Appen
Appen
Appen izstrādā datu pamatu, kas nodrošina mākslīgā intelekta produktu un lietojumprogrammu darbību. Uzņēmums, kas dibināts 1996. gadā, piedāvā mērogojamus pakalpojumus visā mākslīgā intelekta datu aprites ciklā, tostarp datu vākšanā un kurēšanā, modeļu precizēšanā un uzraudzībā. Savā darbā uzņēmums apvieno cilvēku zināšanas ar mākslīgo intelektu, lai palīdzētu organizācijām efektīvāk izmantot savus datus. Izmantojot pieredzi mākslīgā intelekta, konsultāciju un mārketinga jomā, Appen atbalsta dažādu nozaru organizācijas mākslīgā intelekta tehnoloģiju izstrādē un ieviešanā.

Amharic Transcription Specialist

Transcribe Amharic audio for CrowdGen speech recognition projects. Review speech, add timestamps, identify speakers, and mark non-speech sounds.

Apraksts

  • Accurately review audio files and transcribe spoken content.
  • Edit transcripts to produce high-quality data for advanced language models.
  • Convert audio recordings into accurate written transcripts.
  • Record speech as spoken, including pauses, filler words, repetitions, and unfinished sentences.
  • Add timestamps that align with the audio.
  • Identify and label speakers in conversations.
  • Annotate non-speech events, including laughter, background noise, and unclear audio.
  • Maintain high transcription quality.
  • Complete task units in line with required quality standards.

Prasības

  • Know Amharic spelling conventions well.
  • Be fluent in an Ethiopian dialect; applicants may be located anywhere.
  • Have good English reading comprehension.
  • Have a stable internet connection.
  • Pay close attention to detail.
  • Be able to review examples and apply rules to the supplied data.
  • Have previous transcription experience.
  • Have previous experience working with audio data.
  • Have access to a PC, laptop, or iPad.

Priekšrocības

  • Choose flexible hours and work to your own schedule.
  • Work remotely from anywhere.
  • Receive pay above the minimum wage in your market.
  • Increase earnings by taking on more work.

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