French Audio Transcription (ARPABET/Phonetic)
AI Training Project Overview
Applicants must be fluent in French, comfortable with ARPABET phonemic transcription, and able to spot reading errors and disfluencies with high accuracy. A background in phonetics, ASR datasets, or child-speech transcription is strongly preferred. You should be ready to begin within one week, pass a short paid pilot, and commit 20+ hours per week at the published rate.
The project involves converting large batches of short (5-15 s) and long (≈1 min) French audio clips into precise word- and phoneme-level transcripts using our web-based tool. Work is delivered in rolling batches; annotations are reviewed by a peer-QA loop before final acceptance. Your contributions will power next-generation speech-recognition and language-learning models.
All tasks are paid on a per approved task basis, meaning the more tasks you complete accurately and have approved, the more you can earn.
Benefits of This Model
✅ Unlimited Earning Potential – No strict cap; your earnings depend on your productivity and quality.
✅ Direct Reward for Accuracy – High-quality work gets approved faster, which means faster payouts.
✅ Fair and Transparent – You’re paid for work that meets the standards, ensuring consistency and fairness across the team.
Pay per Hour: $5.00 - $7.00
Number of Hires Needed: 18
Ongoing Project: 3 to 6 months
Estimated Monthly Earnings: $900.00
Dataset Description: French student speech clips, phonemic transcription
Labeling Software:Other
Hiring Type: Agencies or Freelancers
Required Location: Global - Any Location
Workload / Schedule: Must be able to start within 1 week. Flexible schedule. 20/hours week minimum