Freelance Opportunity: Arabic Language Transcription Specialist
Project Description
Uber AI Solutions is seeking detail-oriented specialists for transcription to support a large-scale generative AI training program. In this engagement, you will transcribe and annotate audio files with accuracy, capturing every linguistic nuance exactly as spoken.
Language: Arabic
We are looking for native speakers for Arabic transcription. Applicants must be able to accurately transcribe any of the following varieties:
- Modern Standard Arabic (ar-001 | ar-MSA)
- Egyptian (ar-EG)
- Maghrebi (ar-MA | ar-DZ | ar-TN | ar-LY)
- Levantine (ar-LB | ar-SY | ar-JO | ar-PS)
- Gulf / Khaleeji (ar-SA | ar-AE | ar-KW | ar-QA | ar-OM | ar-BH)
What you’ll work on
- Transcription: Transcribe audio with 98% accuracy, capturing every disfluency, filler word, false start, and stutter exactly as heard.
- Precision Timestamping: Align text segments to the audio waveform with millisecond precision (max gap <500ms).
- Speaker Identification: Accurately identify and label speakers in multi-speaker audio files (2–8 interlocutors).
- Tagging and Annotation: Apply correct tags for non-speech events like (laughs) or (applause) and unintelligible segments.
Skills and Qualifications
- Native-level fluency: You must be a native speaker of the specific regional dialect.
- Attention to Detail: You can distinguish between "clean" speech and "verbatim" speech (e.g., capturing the exact phonetic realization of words based on regional pronunciation).
- Tech Savvy: Comfortable navigating web-based annotation tools.
Engagement Details
- Volume: Steady task flow available for high-quality contributors.
- Flexibility: Work on your own schedule, provided quality and deadline standards are met.