Freelancer Overview
Professional Summary
Detail-oriented and analytical Data Labeling Specialist with a strong background in digital media and data classification. Proven experience in high-accuracy image annotation, bounding boxes, and semantic segmentation for training computer vision models. Adept at identifying edge cases, interpreting complex labeling guidelines, and delivering high-quality datasets under tight deadlines. Passionate about contributing precise, human-in-the-loop training data to support AI development at Open Train AI.
Core Competencies
Annotation Types: Bounding Boxes, Polygon Annotation, Semantic Segmentation, Keypoint Labeling, Image Classification, Object Tracking
AI Domains: Computer Vision, Dataset Auditing, Pattern Recognition, Generative AI Training
Tools & Platforms: CVAT, Labelbox, LabelImg, Scale AI, RoboFlow, Custom Annotation Interfaces
Quality Assurance: Edge-Case Identification, Data Verification, Error Correction, Strict Guideline Compliance
Key Strengths: Extreme Attention to Detail, Efficient Workflow Management, Adaptability to Evolving Project Specifications
Professional Experience
Data Labeling & Annotation Specialist (Contract / Freelance)
Digital Media & Data Services | Remote | January 2024 – Present
Executed high-volume image annotation tasks, utilizing bounding boxes and polygons to label objects for computer vision and machine learning model training.
Performed precise semantic segmentation on complex visual datasets, ensuring clean boundaries and flawless pixel-level categorization.
Audited pre-labeled datasets to identify, flag, and correct misclassifications, consistently maintaining a self-constructed quality assurance score above 95%.
Interpreted and adapted to rapidly changing project guidelines across different domains, ensuring data consistency across large-scale batches.
Managed independent daily workflows to hit strict data-delivery targets, consistently turning around high-quality submissions ahead of deadlines.
Digital Content & Community Specialist
Self-Employed / Freelance | Remote | March 2023 – December 2024
Categorized, tagged, and analyzed digital media assets and visual content to optimize engagement and track platform compliance.
Reviewed user-generated text and media submissions, applying strict filtering criteria to maintain community safety and eliminate spam or low-quality data.
Developed a keen eye for visual patterns and anomalies, directly translating these skills into high-accuracy data annotation workflows.
Education
Diploma / Coursework in Digital Media & Information Technology
Nigeria
Technical Skills Summary
Operating Systems: Windows, Android, Linux basics
Software & Tools: Google Workspace, Microsoft Office, Image Editing Software, Data Entry Tools
Image
Text Generation