Appen razvija podatkovne temelje, ki podpirajo izdelke in aplikacije umetne inteligence. Podjetje, ustanovljeno leta 1996, zagotavlja razširljive storitve v celotnem življenjskem ciklu podatkov za umetno inteligenco, vključno z zbiranjem in urejanjem podatkov, natančnim prilagajanjem modelov ter spremljanjem. Njegovo delo združuje človeško strokovno znanje z umetno inteligenco in podjetjem pomaga učinkoviteje uporabljati njihove podatke. Z izkušnjami na področjih umetne inteligence, svetovanja in trženja Appen podpira organizacije pri razvoju in uvajanju tehnologij umetne inteligence v različnih panogah.
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.
Opis
- 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.
Zahteve
- 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.
Ugodnosti
- 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.