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Appen
Data Annotation Tech
Mercor
OneFormaNo subject matter listed
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TextWith nearly 5 years of hands-on experience in AI training data and multilingual annotation, I specialize in building high-quality datasets for NLP models in Dutch, French, and Finnish. I’ve led EU-funded annotation workflows, annotated 50,000+ samples, reduced inconsistencies by 35% via QA protocols, and built the largest open Dutch sentiment dataset (500k samples). Proficient in Label Studio, Prodigy, and SpaCy, with native Dutch and fluent French/English, I hold an MSc in Human Language Technology and certifications in Azure AI, GDPR, and data ethics—ensuring precision, scalability, and full EU compliance.
we worked on text composition, annotating the level of groundedness, comprehensiveness , detecting the underlying issues etc
Transfer Learning Strategies for Cross-Lingual Sentiment Analysis in Dutch and French Social Media Texts, Thesis
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