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Label Studio
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Classification
TranscriptionAI Data Annotator & Labelling Specialist (Independent AI Training Projects). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and Other. Education includes Bachelor of Arts, University of Lagos (2020). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification and Transcription.
TextClassification"Over the past 3.5 years I have worked extensively with large volumes of text data — organizing, categorizing, reviewing and ensuring accuracy across hundreds of projects. My background in content writing gives me a deep understanding of language, tone, context and meaning, which allows me to label and classify text data with precision and consistency.
AudioTranscriptionTagged and annotated audio data to support machine learning model training while following specific labeling requirements. Completed verification checks to ensure consistent dataset labeling quality. Logged or flagged low-quality or ambiguous audio items to help preserve dataset usefulness. • Performed audio tagging/annotation per guideline instructions • Conducted accuracy-focused review of labeled audio segments • Maintained accuracy above 97% on completed tasks • Flagged problematic audio for quality control
Label Studio
ImageClassificationAnnotated image data for machine learning model training using established labeling categories and guidelines. Reviewed and tagged images for consistency and correctness across large datasets. Flagged unclear or low-quality images to maintain dataset integrity throughout the labeling workflow. • Completed image classification labeling following quality standards • Ensured accuracy and consistency across high-volume batches • Maintained accuracy above 97% for completed tasks • Reported ambiguous cases to improve labeling reliability
Label StudioTextClassificationLabeled and annotated text data to support machine learning model training while ensuring responses aligned with detailed annotation guidelines. Completed dataset review and tagging tasks to maintain accuracy and consistency across large volumes of entries. Identified ambiguous or low-quality items and flagged them to protect dataset integrity. • Followed structured labeling instructions and quality control standards • Tagged datasets for sentiment analysis and named entity recognition categories • Maintained consistent accuracy above 97% across labeling tasks • Flagged unclear items to support dataset reliability
BSC EDU, health and safety promotion
Bachelor of Arts, English and Communication Studies
Senior Freelance Content Writer & Data Entry Specialist
Freelance Data Entry Analyst
