Labelling
I did different projects including Component Detector Labeling II, Flamingo Tasks, Bee Lidar, Alquequenje Answer Relevance and PANDA
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I am a native Swahili speaker with strong professional proficiency in English and hands-on experience in data annotation, translation, and AI training data preparation. I have worked on projects involving tagging and annotating datasets for language models, ensuring linguistic accuracy and quality through careful review and correction of errors. My background in linguistics, with a focus on Swahili and English, gives me a deep understanding of language processing and cultural nuances, which I apply when translating, transcribing, and annotating data for NLP projects. I am skilled in using annotation tools like Labelbox and familiar with foundational AI concepts, as well as basic machine learning frameworks such as TensorFlow and PyTorch. I am committed to delivering high-quality, culturally relevant datasets that support effective AI model training, and I thrive in collaborative, remote environments.
I did different projects including Component Detector Labeling II, Flamingo Tasks, Bee Lidar, Alquequenje Answer Relevance and PANDA
Certificate, Web Development
Swahili Language Tutor