French Phoneme Transcription Specialist
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.
About OpenTrain
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is hiring contractors for flexible, remote projects where skilled contributors help shape the next generation of artificial intelligence.
Create a free OpenTrain account, build your profile, and apply in minutes. This role is offered as a part-time contractor opportunity.
- Remote contract work with a global AI-training organization
- Pay range: $18 to $20 USD per hour
- Part-time availability of 20+ hours per week
About Audio AI Training
AI systems learn to understand speech from audio examples that people transcribe, classify, and review. Precise phoneme-level labeling helps improve automatic speech recognition and language-learning models, making expert human judgment essential to the development of modern voice technology.
- Work directly with French speech data
- Support ASR and language-learning model development
- Apply phonetics expertise to real AI-training datasets
The Role
As a French ARPABET Phoneme Transcription Specialist, you will work with French audio clips requiring precise phonemic transcription. You will process large batches of long audio clips, typically one to two minutes each, using a web-based annotation tool.
The work includes word-level alignment, phoneme-level transcription, and accurate identification of reading errors and speech disfluencies. Your annotations will move through a peer quality-assurance loop before final acceptance.
- Experience level: Intermediate
- Languages: Native-level French and conversational English
- Locations listed for this role: Belgium and France
- Employment type: Part-time contractor
What You'll Do
You will convert French audio into detailed transcripts and classifications that capture how speech is produced. Work is delivered in rolling batches, and payment is made per approved task. Higher throughput and accuracy can increase your earnings within the published rate.
- Transcribe long French audio clips at word and phoneme level
- Produce consistent ARPABET phonemic transcriptions for French speech
- Create accurate word-level alignments
- Identify misread words, substitutions, omissions, and insertions
- Label filled pauses, repetitions, false starts, and self-corrections
- Use a web-based annotation tool for production work
- Review and incorporate peer-QA feedback
Requirements
This role requires native-level French and intermediate to expert proficiency with ARPABET phonemic transcription for French speech. You must be able to judge fine-grained pronunciation and reading accuracy, detect speech issues reliably, and maintain a high level of consistency across large batches.
Prior experience in phonetics or linguistics, ASR dataset transcription, phoneme-level labeling, or child-speech transcription is strongly preferred. You must pass a qualification quiz before receiving production batches.
- Native-level French fluency
- Conversational English proficiency
- Intermediate to expert ARPABET transcription ability for French
- Strong accuracy in detecting reading errors and disfluencies
- Ability to produce word-level alignments and phoneme-level transcripts
- Comfort with web-based annotation and peer-QA workflows
- Able to start within one week of acceptanceAvailable for 20+ hours per week on an ongoing basis
- Must pass the project qualification quiz
Who Should Apply
This opportunity is suited to French-speaking phonetics and language specialists who enjoy detailed audio work and want to contribute to cutting-edge speech technology. It may be a strong fit for people with experience in linguistics, ASR datasets, phoneme annotation, or child-speech transcription.
- French phonetics or linguistics specialists
- Experienced ASR or speech-data annotators
- Contributors familiar with phoneme-level labeling
- Professionals experienced in child-speech transcription
- Detail-oriented reviewers who can sustain accuracy over extended batches