Description

AI Data Specialist with 5+ years of experience improving Speech AI and Search quality through high-precision human evaluation (RLHF). I curate and refine multilingual (French/English) datasets, run side-by-side model comparisons, and deliver publication-ready transcripts (verbatim or clean-read) for R&D and media use. I’m rigorous about text normalization (numbers, units, abbreviations), dataset consistency at scale, and complex audio scenarios (multi-speaker, overlaps, hesitations, ambient noise).

On top of data work, I also build fast MVPs via AI-assisted prototyping (“vibe coding”) for web & mobile apps—turning ideas into working prototypes quickly, with clear iterations and practical deliverables.

Finally, I bring a strong creative edge: I’m a published poetry author and I create content around philosophy and ideas. That means I care deeply about language, tone, and clarity—useful for UX copy, localization, and overall output quality.

If you need reliable speech/ASR data curation, transcription QA, search relevance labeling, or rapid app prototyping, I can help.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

ElevenLabs
AI Speech Data Specialist
ASSOCIATIF ET SYNDICAL
janvier 2021 - Aujourd'hui (5 ans et 5 mois)
Curated and refined training data for AI speech recognition models, contributing directly to the improvement of AI generated transcription systems.
• • Evaluated and corrected AI generated transcriptions for ElevenLabs, improving output accuracy for speech model training pipelines
• • Processed dozens of audio hours monthly, maintaining consistent quality under strict production deadlines
• •
Applied systematic text normalization protocols (numbers, abbreviations, units) ensuring dataset consistency across thousands of entries
• • Managed complex audio scenarios: multi-speaker identification, overlapping speech, hesitations, and ambient noise annotation
• • Produced publication-ready verbatim and clean-read transcripts for speech recognition R&D and media applications
intelligence artificielle Transcription
Appen
AI Search Quality Evaluator & Data Annotator
ASSOCIATIF ET SYNDICAL
janvier 2021 - janvier 2023 (2 ans)
Provided human evaluation data used to train and improve search ranking algorithms, directly contributing to AI model performance.
• •
Analyzed and labeled search queries and results based on relevance, user intent, and source quality
• • Identified and flagged data anomalies — outdated, duplicate, misleading, or low-quality content
• • Documented edge cases and ambiguous patterns to support refinement of evaluation rubrics (directly analogous to AI red-teaming)
• • Consistently met or exceeded daily quality and productivity quotas on proprietary annotation platforms