I am Noel Langwe Junior, a detail-oriented data annotator and researcher based in Lilongwe, Malawi. I specialize in qualitative research, language services, and AI training data workflows, with a track record of delivering high-fidelity datasets through careful annotation, text classification, and RLHF-aligned evaluation. I combine an ethics-driven academic background with practical freelance experience across Mindrift, Twine, and uTest to support robust machine learning systems.
I excel at turning ambiguous textual data into clear, actionable insights, designing resilient annotation pipelines, and communicating technical results to diverse stakeholders. Beyond data work, I write and translate content for digital publications and curate linguistic quality across regional dynamics, leveraging strong writing, editing, and cross-language capabilities.
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