Data Labelling
Worked remotely to accurately label and organize large datasets for AI model development. Demonstrated strong self-management and reliability in meeting deadlines without direct supervision.
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I am a detail-oriented data annotator with hands-on experience labeling and organizing large datasets for AI model development. My background includes remote work on projects involving audio, video, text, and photographic data, where I ensured high standards of accuracy and consistency. I am skilled in using Excel, Google Sheets, and digital collaboration tools to manage data entry and documentation efficiently. My contributions to projects like Multimango, Parimango, and Aurora Studio have strengthened my ability to meet strict guidelines and deadlines, making me confident in my ability to deliver reliable, high-quality training data for machine learning and AI applications. I am fluent in English and Yoruba, and thrive in virtual work environments that require strong attention to detail and self-management.
Worked remotely to accurately label and organize large datasets for AI model development. Demonstrated strong self-management and reliability in meeting deadlines without direct supervision.
Collected high-quality photographic data following strict guidelines on framing, lighting, angles, and content accuracy. Used mobile devices and digital cameras to capture, review, and submit images for data annotation and research purposes.
Bachelor's Degree, Linguistics and African Languages
Certificate in Computer Studies, Computer Studies
AI Data Annotation Specialist