Olalesi

Key Skills

Software

CVAT

Roboflow

Top Subject Matter

Chatbots Domain Expertise

Multilingual Data

Cybersecurity Domain Expertise

Top Data Types

Image

Audio

Text

Top Task Types

Classification

Entity Ner Classification

Text Generation

Freelancer Overview

AI/ML Data Annotator. Core strengths include CVAT, Roboflow, and Internal. Education includes Bachelor of Science, Federal University Oye - Ekiti. AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Classification, Entity (NER) Classification, and Text Generation.

Labeling Experience

AI/ML Data Annotator (Security-Focused)

CVATImageClassificationEntity Ner Classification

As an AI/ML Data Annotator (Security-Focused) at Awarri, I evaluated, labeled, and enhanced over 30,000 text, audio, and image assets for AI training in secure environments. I conducted QA and ensured 99.5% accuracy in data delivery, supporting local large language model (LLM) development (AwaGPT). I used annotation tools such as CVAT, Roboflow, and custom tools to train AI on multilingual, real-world data and verified sensitive datasets with strict confidentiality protocols. • Performed structured QA checks to reduce discrepancies and strengthen data integrity. • Enhanced chatbot performance by creating alternative responses and classifying AI output. • Contributed to tools security testing and supported local relevance adaptation efforts. • Supported training of AI models on diverse security-related datasets.

As an AI/ML Data Annotator (Security-Focused) at Awarri, I evaluated, labeled, and enhanced over 30,000 text, audio, and image assets for AI training in secure environments. I conducted QA and ensured 99.5% accuracy in data delivery, supporting local large language model (LLM) development (AwaGPT). I used annotation tools such as CVAT, Roboflow, and custom tools to train AI on multilingual, real-world data and verified sensitive datasets with strict confidentiality protocols. • Performed structured QA checks to reduce discrepancies and strengthen data integrity. • Enhanced chatbot performance by creating alternative responses and classifying AI output. • Contributed to tools security testing and supported local relevance adaptation efforts. • Supported training of AI models on diverse security-related datasets.

2024 - Present

Education

Work History