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Appen
Labelbox
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Image
Document
Data Collection
Prompt + Response Writing (SFT)AI Data Annotator (Appen). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Labelbox, and Other. Education includes Bachelor of Laws, Rivers State University (2025). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.
LabelboxTextData CollectionContributed to large-scale data labeling projects, ensuring high-quality ground-truth datasets for computer vision and NLP models. Followed project-specific guidelines to improve label consistency and model performance. • Produced/validated ground-truth annotations • Ensured adherence to labeling guidelines • Improved data reliability for CV and NLP • Supported model training readiness
AppenTextEvaluated and refined AI-generated responses to ensure accuracy, safety, and relevance. Used linguistic and logical frameworks to categorize outputs for downstream machine learning model training. • Quality and safety checking of AI responses • Relevance and accuracy validation • Categorization using linguistic/logical rules • Supporting reliable training data preparation
TextPrompt + Response Writing (SFT)Provided high-precision data labeling and prompt engineering services for global clients in a remote, self-managed setting. Consistently met rigorous deadlines and quality benchmarks while supporting AI training and evaluation needs. • Delivered labeled datasets for AI use cases • Engineered prompts to guide model behavior • Maintained labeling quality standards • Met client deadlines in a remote workflow
Bachelor of Laws, Law
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