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OneForma
Mercor
Mindrift
Text
Image
Audio
Object Detection
Text Summarization
Question Answering
Transcription
Prompt + Response Writing (SFT)
Text GenerationAI Data Annotation & Content Evaluation Practice. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and OneForma. Education includes Bachelor of Science, University of Lagos (UNILAG) (2027). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Translation.
AudioTranscriptionTranscribed and annotated audio data for AI training by converting speech to accurate text while following strict guidelines, ensuring clarity, consistency, and high-quality outputs for speech recognition model improvement.
ImageObject DetectionAnnotated images for object detection tasks by labeling and classifying objects with high accuracy. Followed detailed guidelines, handled complex scenarios, and ensured consistent, high-quality data to improve AI model performance
TextLabeled and evaluated text datasets with the goal of improving AI model performance. Ensured outputs met requirements for consistency, accuracy, and compliance with provided guidelines. Applied a quality-focused approach to dataset labeling and evaluation. • Performed text labeling for AI model improvement • Evaluated dataset quality for consistency and accuracy • Ensured compliance with labeling guidelines • Focused on guideline-driven dataset refinement
OneFormaTextEvaluated text rendering and formatting across English and French datasets to improve multilingual dataset quality. Identified inconsistencies in typography, spacing, and readability while following strict annotation and evaluation guidelines. Contributed labeled findings to dataset improvement efforts for downstream AI evaluation. • Assessed typography, spacing, and readability differences • Followed strict annotation and evaluation guidelines • Compared English and French text presentation quality • Supported improvement of multilingual dataset labeling
TextPerformed text data annotation and labeling according to predefined guidelines for AI use cases. Evaluated AI-generated outputs for accuracy, relevance, and clarity, and refined responses to match quality requirements. Maintained consistency across the dataset while strictly following instruction sets. • Annotated and labeled text data using provided rules • Evaluated outputs on accuracy, relevance, and clarity • Rewrote and refined responses to meet standards • Ensured guideline adherence and cross-record consistency
Bachelor of Science, Metallurgical and Materials Engineering
Certificate, Data Literacy
Multilingual UX Evaluator
Software Tester (Bug Reporter)
