Posted: Jun 22, 2025
French Audio Transcription (ARPABET/Phonetic)
Total Budget: $900OtherAudioPay Per Hour
Overview
Dataset
Labeling Details
Hiring
Budget
Client
Labeling Overview
Applicants must be fluent/ native-level in French, intermediate to expert-level 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 qualification quiz, and commit 20+ hours per week at the published rate. The project involves converting large batches of 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.
Total Budget: $900Pay Per HourIntermediate3-6 monthsAgency or Individual
Total Budget
$900
Pay per Label
$6/hr
Time Requirement
20+ hrs/week
Duration
3-6 months
Description of dataset
French student speech clips, phonemic transcription
Software
Other
Hiring Type
Agency or Individual
Required Location
Global Any Location
Workload / Schedule
Must be able to start within 1 week. Flexible schedule. 20/hours week minimum
Software
Other
Data Type
AudioLabel Types
Text Generation
Subject Matter / Industry
French Speech recognition, linguistics transcripti
Language
French
English
Job Type
Managed Service by OpenTrain
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trainai.co/project