Itanrin Samuel

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

AI Video Annotation

AI Video, images and audio Annotation Project

Data labelling

Top Data Types

Video

Top Task Types

Action Recognition

Classification

Freelancer Overview

Data Annotation & AI Evaluation Specialist. Core strengths include CVAT and Labelbox. Education includes Bachelor of Technology, Ladoke Akintola University of Technology (2023). AI-training focus includes data types such as Video and labeling workflows including Action Recognition and Classification.

Labeling Experience

Data Annotation & AI Evaluation Specialist

CVATVideoAction Recognition

Served as a Data Annotation and AI Evaluation Specialist, focused on reviewing and correcting AI-generated video annotations for quality and consistency. Performed frame-level timestamping, action labeling, and identified recurring model and labeling errors to improve dataset accuracy. Maintained a high throughput of annotated videos while ensuring strict adherence to annotation guidelines and accuracy standards. • Reviewed and corrected more than 1,000 video annotation outputs weekly. • Reduced annotation inconsistencies by up to 20% through quality assurance workflows. • Flagged edge cases and ambiguities to further refine guidelines and reduce future rework. • Utilized CVAT and Labelbox platforms to achieve 95%+ annotation accuracy.

Served as a Data Annotation and AI Evaluation Specialist, focused on reviewing and correcting AI-generated video annotations for quality and consistency. Performed frame-level timestamping, action labeling, and identified recurring model and labeling errors to improve dataset accuracy. Maintained a high throughput of annotated videos while ensuring strict adherence to annotation guidelines and accuracy standards. • Reviewed and corrected more than 1,000 video annotation outputs weekly. • Reduced annotation inconsistencies by up to 20% through quality assurance workflows. • Flagged edge cases and ambiguities to further refine guidelines and reduce future rework. • Utilized CVAT and Labelbox platforms to achieve 95%+ annotation accuracy.

2024 - 2025

AI Video Annotation & Data Labeling Projects

CVATVideoClassification

Contributed to video annotation and data labeling projects, focusing on frame-level review and consistent labeling. Ensured that object and action labels were applied with high precision and maintained dataset integrity. Supported faster data pipeline delivery by balancing annotation speed and quality. • Achieved 100% left/right consistency accuracy across annotated video datasets. • Detected systematic model errors that improved output reliability. • Maintained high throughput while upholding strict accuracy goals. • Adapted rapidly to new annotation environments and tools, including CVAT and Labelbox.

Contributed to video annotation and data labeling projects, focusing on frame-level review and consistent labeling. Ensured that object and action labels were applied with high precision and maintained dataset integrity. Supported faster data pipeline delivery by balancing annotation speed and quality. • Achieved 100% left/right consistency accuracy across annotated video datasets. • Detected systematic model errors that improved output reliability. • Maintained high throughput while upholding strict accuracy goals. • Adapted rapidly to new annotation environments and tools, including CVAT and Labelbox.

2023 - 2024

Education

Work History