Ademoyo O.

Key Skills

Software

Label Studio

Other

Top Subject Matter

Data annotation for AI development (images and text)

Data labeling fundamentals for AI

Practical data annotation training for AI

Top Data Types

Image

Text

Top Task Types

Classification

Freelancer Overview

Data Annotation Trainee, DataLens Africa. Core strengths include Label Studio and Other. Education includes Bachelor of Technology, Federal University of Technology, Akure (2026) and Certificate, DataLens Africa (2025). AI-training focus includes data types such as Image and Text and labeling workflows including Entity (NER), Evaluation, and Rating.

Labeling Experience

Practical Data Annotation Training, DataLens Africa

OtherImageClassification

Participated in practical data annotation training to gain hands-on experience with labeling workflows. Built familiarity with annotation tools and methods aligned to real dataset labeling needs. Strengthened understanding of how to follow labeling guidelines and produce reliable annotations. • Practiced using annotation tools • Applied labeling best practices • Worked with guideline-based workflows • Developed quality-focused labeling habits

2026 - Present

Data Annotation Trainee, DataLens Africa

Label StudioImage

Completed data annotation tasks focusing on both images and text using Label Studio. Performed labeling with attention to quality and consistency during the training period. Supported evaluation and quality checks of labeled outputs to ensure usability for AI development. • Labeled image data • Labeled text data • Conducted quality checks • Used Label Studio for annotation

2026 - Present

Essentials of Data Labeling and Annotation (Training Course), DataLens Africa

OtherText

Completed an essentials training course covering data labeling and annotation techniques for AI. Focused on core concepts and practical approaches to producing labeled datasets for model development. Learned best practices intended to improve labeling quality and consistency. • Studied data labeling techniques • Reviewed annotation best practices • Prepared for practical AI training • Applied course concepts to annotation workflows

2025 - 2025

Education

Work History