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AWS SageMaker
CVAT
Doccano
Labelbox
Label Studio
Prodigy
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VideoI have extensive experience in AI training data, especially in building and evaluating high-quality datasets for NLP, content moderation and large language models. I have worked on several real-world annotation pipelines, including harmful content detection, cyberbullying classification, and large-scale webpage categorization. My work involved designing labeling guidelines, reviewing annotations, performing span-level text labeling and ensuring high-quality structured datasets for supervised and human-in-the-loop systems.
It involves classifying user messages for toxicity, hate speech, or abuse, marking harmful phrases and performing QA to build accurate and trustworthy moderation systems.
The scope includes labeling unsafe content, detecting subtle harmful patterns, and creating high-quality datasets that power automated content moderation models.
Diploma, French Language Studies
Master of Science, Big Data and Data Science
Expert Data
NLP Machine Learning Engineer
