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Appen
Label Studio
Prodigy
Labelbox
CVAT
Text
Video
Image
Audio
Document
Classification
Segmentation
Text Summarization
Transcription
Mapping
Object DetectionAI Data Annotator — Multimodal African Dataset Annotation Project, DataLens Africa Academy Capstone Lab. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Prodigy, and Labelbox. Education includes Diploma in Business Administration, Nigerian College of Administration (2020). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Segmentation, Classification, and Transcription.
Assessed the quality and relevance of AI generated content (text and image), categorized and validate text and image datasets based on predefined quality standards.
During the capstone annotation project, I performed frame-by-frame annotation and object detection tasks on video samples depicting regional traffic scenes. This enhanced dataset granularity and facilitated more robust AI training for video-based applications. I consistently applied annotation guidelines to ensure high data accuracy and minimize errors. • Performed detailed object detection in video frames. • Used CVAT and Label Studio for precise video annotations. • Maintained accuracy and adherence to established quality standards. • Improved dataset value by enriching video training samples.
In a hands-on capstone annotation lab, I mapped geospatial datasets and applied land cover classifications on authentic African satellite imagery. My labeling efforts provided high-resolution training data for geospatial AI models. The project required careful adherence to mapping protocols and consistent quality control measures. • Accurately annotated geospatial data across multiple scenes. • Utilized industry-standard tools for geographical labeling. • Applied classification techniques for land cover and object identification. • Ensured data alignment with project-specific mapping requirements.
I transcribed and labeled audio samples in Nigerian English and Pidgin for inclusion in underrepresented language datasets. This enhanced dataset diversity for inclusive, Africa-focused AI development projects. High standards of linguistic accuracy and clarity were maintained throughout the project lifecycle. • Annotated and transcribed audio using Label Studio and Labelbox tools. • Expanded datasets for multilingual AI by including Nigerian English and Pidgin. • Ensured consistency and accuracy in audio labeling and transcription. • Contributed to culturally representative language AI resources.
I performed semantic segmentation and bounding box annotation tasks on African satellite imagery frames in a capstone lab setting. My work maintained high accuracy, consistently achieving over 95% on reviewer assessments while following strict annotation guidelines. This project contributed to the creation of production-quality, multimodal datasets relevant for Africa-focused AI systems. • Annotated over 50 satellite imagery frames with precise labels. • Used Label Studio, CVAT, and Labelbox for accurate image annotation. • Interpreted and applied detailed annotation criteria to minimize rework. • Ensured inter-annotator agreement above the 0.85 threshold.
Diploma in Business Administration, Business Administration
Bachelor of Science, English Language
CRM and Workflow Automation Specialist
Administrative & Record Officer
