French ARPABET Phoneme Transcription Specialist (Native French)

Dataset Description (5–8 words): French audio clips needing phoneme transcripts

Data Type: Audio

Subject Matter/Industry (5–8 words): French speech phonetics and ASR training

Pre-labeled Data: No

Labeling Software: Other

Label Types (multi-select):

• Data Collection
• Classification

Labeling Overview: Qualifications: You must be native-level in French and comfortable producing or validating ARPABET phonemic transcriptions at an intermediate to expert level. You should be able to reliably detect reading errors and speech disfluencies with high accuracy. Backgrounds in phonetics/linguistics, ASR datasets, or child-speech transcription are strongly preferred. You must be able to start within one week, pass a qualification quiz, and commit 20+ hours per week at the published rate.

What you’ll do: You will convert large batches of long (1–2 minute) French audio clips into precise word- and phoneme-level transcripts using our web-based annotation tool. Work is delivered in rolling batches, and your annotations will go through a peer QA loop before final acceptance. This work will directly support next-generation speech recognition and language-learning models. Payment is per approved task—higher throughput and accuracy mean higher earnings.

Required Locations: Global - Any Location

Required English Level: Conversational

Other Qualifications & Requirements (5–10 bullets):

• Native-level French (able to judge fine-grained pronunciation and reading accuracy).
• Intermediate to expert proficiency with ARPABET phonemic transcription for French speech.
• Demonstrated ability to identify and label reading errors (misread words, substitutions, omissions, insertions).
• Demonstrated ability to identify and label disfluencies (filled pauses, repetitions, false starts, self-corrections).
• Prior experience with at least one: phonetics/linguistics work, ASR dataset transcription, phoneme-level labeling, or child-speech transcription.
• Able to produce word-level alignment and phoneme-level transcription with high consistency and attention to detail.
• Must be able to start within 1 week of acceptance.
• Must pass a qualification quiz before receiving production batches.
• Availability to commit 20+ hours/week on an ongoing basis.
• Comfortable working in a web-based annotation tool and following peer-QA feedback loops.