Swahili Anotator
Reviewing generated text for grammar, punctuation and naturalness. Recording audio from a prompt to express naturalness. Rating responses based on given criteria
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I have hands-on experience in data annotation, having worked remotely as a Swahili Data Annotator for Welocalize on projects supporting OpenAI’s machine learning model training. My responsibilities included accurately labeling and reviewing language datasets, performing quality checks to identify errors and misclassifications, and providing feedback to improve annotation guidelines. I am detail-oriented and skilled at following complex instructions, ensuring data quality for NLP tasks. My technical background in backend development, Linux administration, and foundational knowledge of Python and Git-based workflows further strengthens my ability to work efficiently with data labeling tools and contribute to high-quality AI training data. I am passionate about supporting AI and machine learning projects with reliable, well-annotated datasets.
Reviewing generated text for grammar, punctuation and naturalness. Recording audio from a prompt to express naturalness. Rating responses based on given criteria
Bachelor of Science, Applied Computer Science
Technology Service Management Intern
Backend Developer