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Emmanuel Ajumobi

Emmanuel Ajumobi

AI Data Labeling Specialist - Media & Entertainment

IRELAND flag
Waterford, Ireland
$17.00/hrEntry LevelScale AIRemotasks

Key Skills

Software

Scale AIScale AI
RemotasksRemotasks

Top Subject Matter

Media & Entertainment - Image/Video Content Analysis
E-commerce - Product Image Categorization
Technology - AI Training Data & Computer Vision

Top Data Types

ImageImage
VideoVideo
TextText

Top Label Types

Classification
Question Answering
Object Detection
Text Generation
Text Summarization
Segmentation
Evaluation Rating

Freelancer Overview

I have developed experience in data labeling and AI training data preparation through projects that involve reviewing, analyzing, and organizing different types of digital content. My work often includes carefully examining text, images, or video material, identifying key details, and categorizing information according to specific guidelines. This has helped me build strong attention to detail, accuracy, and consistency, which are essential qualities when preparing datasets used to train artificial intelligence systems. In addition, I have experience working with content analysis and structured storytelling projects, such as reviewing movie scenes, writing summaries, and creating narration scripts. These projects required identifying important visual and textual elements, organizing information logically, and maintaining clarity for different audiences. My key strengths include strong reading comprehension, analytical thinking, clear written communication, and the ability to follow detailed instructions, all of which are valuable skills for producing high-quality labeled data that supports reliable AI model training.

Entry LevelEnglish

Labeling Experience

Entry-Level Data Labeling / Data Annotation Specialist (Student Projects)

TextClassification
Reviewed and categorized information from text, images, and video content as part of student projects focused on supporting AI dataset preparation. Consistently followed complex annotation guidelines and analyzed content for accuracy and relevance. Developed detailed summaries and classifications to aid in digital content analysis for machine learning training. • Demonstrated strong attention to detail and accuracy • Applied reading comprehension and written communication • Performed basic content moderation and categorization • Used guidelines for consistent data labeling and annotation

Reviewed and categorized information from text, images, and video content as part of student projects focused on supporting AI dataset preparation. Consistently followed complex annotation guidelines and analyzed content for accuracy and relevance. Developed detailed summaries and classifications to aid in digital content analysis for machine learning training. • Demonstrated strong attention to detail and accuracy • Applied reading comprehension and written communication • Performed basic content moderation and categorization • Used guidelines for consistent data labeling and annotation

Not specified

AI Training Data Annotator

ImageQuestion Answering
Worked on AI training data projects involving the annotation and review of text and digital content to improve machine learning model performance. Responsibilities included labeling data according to detailed guidelines, categorizing information, identifying patterns, and ensuring high accuracy and consistency across datasets. Tasks required careful reading comprehension, analytical thinking, and adherence to strict quality standards to produce reliable training data. Additionally, the project involved reviewing content for clarity, summarizing key information, and organizing structured data to support natural language processing and AI model evaluation. Emphasis was placed on maintaining precision, following annotation taxonomies, and performing quality checks to ensure the labeled data met project requirements and improved AI system outputs.

Worked on AI training data projects involving the annotation and review of text and digital content to improve machine learning model performance. Responsibilities included labeling data according to detailed guidelines, categorizing information, identifying patterns, and ensuring high accuracy and consistency across datasets. Tasks required careful reading comprehension, analytical thinking, and adherence to strict quality standards to produce reliable training data. Additionally, the project involved reviewing content for clarity, summarizing key information, and organizing structured data to support natural language processing and AI model evaluation. Emphasis was placed on maintaining precision, following annotation taxonomies, and performing quality checks to ensure the labeled data met project requirements and improved AI system outputs.

2025 - 2026

Education

S

Secondary School / High School

Secondary Education (High School), English Language and Communication

Secondary Education (High School)
2017 - 2025
N

N/A

Bachelor of Arts, English

Bachelor of Arts
2023

Work History

I

Independent / Remote AI Data Projects

AI Training Data Annotator / Data Labeling Specialist

Waterford
2025 - 2026