Theophilous Odeleye

Key Skills

Software

Micro1

Scale AI

Top Subject Matter

Multimedia Domain Expertise

Computer Vision

Human Emotion Recognition

Top Data Types

Video

Image

Text

Document

Top Task Types

Classification

Object Detection

Freelancer Overview

Video Annotation, Image Labelling & AI Content Reviewer. Core strengths include Luma, Micro1, and Scale AI. Education includes Bachelor of Science in Education, Usmanu Danfodiyo University and National Diploma in Business Administration, The Oke-Ogun Polytechnic. AI-training focus includes data types such as Video and Image and labeling workflows including Classification and Object Detection.

Labeling Experience

Video Annotation & AI Content Reviewer

VideoClassification

This role involved reviewing and annotating short video clips and images to identify people, objects, backgrounds, facial expressions, actions, emotions, and scene context for AI model training. Scene descriptions captured transitions, movement, spatial relationships, lighting, and mood, all abiding by strict annotation guidelines. AI-generated outputs were reviewed, errors were corrected, and high-quality, accurate datasets were delivered for AI training pipelines. • Labeled visual elements and scene context in multimedia content for AI model training. • Maintained over 98% accuracy in high-volume annotation projects. • Reviewed and corrected AI-generated video and image descriptions for quality assurance. • Collaborated with project managers and subject matter experts to improve annotation processes.

This role involved reviewing and annotating short video clips and images to identify people, objects, backgrounds, facial expressions, actions, emotions, and scene context for AI model training. Scene descriptions captured transitions, movement, spatial relationships, lighting, and mood, all abiding by strict annotation guidelines. AI-generated outputs were reviewed, errors were corrected, and high-quality, accurate datasets were delivered for AI training pipelines. • Labeled visual elements and scene context in multimedia content for AI model training. • Maintained over 98% accuracy in high-volume annotation projects. • Reviewed and corrected AI-generated video and image descriptions for quality assurance. • Collaborated with project managers and subject matter experts to improve annotation processes.

2022 - 2024

Video Transcription & Visual Quality Analyst

Micro1VideoClassification

In this position, video content was reviewed frame-by-frame to track and annotate temporal interactions, speakers, environmental factors, and scene transitions for AI training. Objects, motion, and contextual elements were labeled to ensure consistent and accurate annotation. Strict adherence to data quality standards and guidelines was maintained while inconsistencies were documented and feedback was provided for process improvement. • Performed detailed frame-by-frame video annotation for temporal and contextual analysis. • Labeled objects, speakers, and actions to train computer vision algorithms. • Ensured data consistency and compliance with annotation standards. • Identified, documented, and provided feedback on annotation errors and inconsistencies.

In this position, video content was reviewed frame-by-frame to track and annotate temporal interactions, speakers, environmental factors, and scene transitions for AI training. Objects, motion, and contextual elements were labeled to ensure consistent and accurate annotation. Strict adherence to data quality standards and guidelines was maintained while inconsistencies were documented and feedback was provided for process improvement. • Performed detailed frame-by-frame video annotation for temporal and contextual analysis. • Labeled objects, speakers, and actions to train computer vision algorithms. • Ensured data consistency and compliance with annotation standards. • Identified, documented, and provided feedback on annotation errors and inconsistencies.

2021 - 2022

Multimedia Annotation Specialist (Freelance)

Scale AIImageObject Detection

This freelance role included annotating over 50,000 audio, video, and image items for object detection and recognition tasks in large-scale AI projects. Images and video clips were examined to identify, label, and describe people, objects, actions, and environmental details for computer vision model development. Quality audits and error categorization were performed to maintain compliance and high performance metrics for client guidelines. • Labeled visual elements in images and videos for object detection AI projects. • Examined and annotated environmental and contextual scene information. • Performed quality control and error categorization on annotated datasets. • Supported the development of computer vision models for large clients.

This freelance role included annotating over 50,000 audio, video, and image items for object detection and recognition tasks in large-scale AI projects. Images and video clips were examined to identify, label, and describe people, objects, actions, and environmental details for computer vision model development. Quality audits and error categorization were performed to maintain compliance and high performance metrics for client guidelines. • Labeled visual elements in images and videos for object detection AI projects. • Examined and annotated environmental and contextual scene information. • Performed quality control and error categorization on annotated datasets. • Supported the development of computer vision models for large clients.

2020 - 2021

Education

Work History