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OneForma
Image
Text
Bounding Box
Classification
Polygon
Segmentation
Entity (NER) ClassificationDetail-oriented Data Annotator and AI Training specialist with a B.Sc. in Mathematics and over 3 years of hands-on experience delivering high-quality labeled datasets for Machine Learning and Generative AI systems. Proficient in text, image, and audio annotation, LLM output evaluation (RLHF), Named Entity Recognition (NER), semantic segmentation, and prompt engineering. Certified in AI Data Annotation (Udemy), Data Science (Cisco / FG 3MTT), and AI workflows (ALX Africa). Consistently maintain a 95%+ quality assurance score across 20+ complex annotation projects on the Oneforma platform, with expertise in fact-checking, bias detection, edge-case identification, and strict guideline adherence. Fluent in English, Igbo, and Nigerian Pidgin, a strong asset for localized and multilingual AI model training.
ImageBounding BoxAnnotated and categorized image datasets using bounding boxes and segmentation techniques to support computer vision model training. Ensured consistent labeling quality and adherence to project annotation guidelines across multiple high-volume image annotation tasks.
TextClassificationCategorized and tagged high volumes of text snippets and search queries to train NLP algorithms. Evaluated LLM outputs for factual accuracy, relevance, safety, and bias as part of RLHF pipelines. Maintained a 95%+ QA accuracy score across 20+ projects on the Oneforma platform, adhering to strict data privacy and project-specific guidelines.
ImagePolygonCompleted hands-on capstone project covering the full lifecycle of AI training data preparation. Applied bounding boxes and polygon tools for image annotation and used NLP techniques to categorize text data according to specific AI training constraints and quality standards.
Bachelor of Science (B.Sc.), Mathematics
Data Processing Specialist
Data Administrator & Mathematics Educator
