Faheez Adekunle

Key Skills

Software

Label Studio

Top Subject Matter

Ai/nlp Domain Expertise

Regulatory Compliance & Risk Analysis

Speech Recognition and Language Translation

Top Data Types

Text

Audio

Document

Top Task Types

Classification

Freelancer Overview

Data Annotation Specialist (Freelance). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Label Studio. Education includes Bachelor of Engineering, University of Lagos (2019). AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Data Annotation Specialist (Freelance)

Label StudioTextClassification

As a freelance Data Annotation Specialist, I labeled and categorized large volumes of text data for AI training. I consistently applied strict guidelines and quality checks to ensure high accuracy. This work involved sentiment analysis and intent classification using structured formats. • Annotated datasets for text classification and sentiment analysis. • Conducted quality assurance to maintain over 95% annotation accuracy. • Organized and managed datasets using Excel and CSV formats. • Simulated workflows of platforms like OneForma and Appen.

As a freelance Data Annotation Specialist, I labeled and categorized large volumes of text data for AI training. I consistently applied strict guidelines and quality checks to ensure high accuracy. This work involved sentiment analysis and intent classification using structured formats. • Annotated datasets for text classification and sentiment analysis. • Conducted quality assurance to maintain over 95% annotation accuracy. • Organized and managed datasets using Excel and CSV formats. • Simulated workflows of platforms like OneForma and Appen.

2025 - Present

AI Data Labeling Project (Personal Project)

Label StudioTextClassification

In a personal AI Data Labeling Project, I developed and labeled a dataset of over 1,000 text samples for AI tasks. I established annotation guidelines and performed consistency checks across the entire dataset. The process included documenting workflows and decision rules for future reproducibility. • Labeled text samples for sentiment and entity recognition. • Created comprehensive annotation guidelines. • Ensured high consistency through detailed quality checks. • Documented labeling strategy for reproducibility.

In a personal AI Data Labeling Project, I developed and labeled a dataset of over 1,000 text samples for AI tasks. I established annotation guidelines and performed consistency checks across the entire dataset. The process included documenting workflows and decision rules for future reproducibility. • Labeled text samples for sentiment and entity recognition. • Created comprehensive annotation guidelines. • Ensured high consistency through detailed quality checks. • Documented labeling strategy for reproducibility.

2025 - 2025

Education

Work History