Segun A.

Key Skills

Software

Dataloop

Other

Top Subject Matter

Brand Reputation

Regulatory Compliance & Risk Analysis

Legal Research & Document Analysis

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Classification

Text Generation

Object Detection

Data Collection

Prompt + Response Writing (SFT)

Red Teaming

Freelancer Overview

I have hands-on experience working with AI training data and annotation across NLP and computer vision projects. At Ash Nelson Partners, I worked on a sentiment-based Brand Reputation and Performance System where I manually labeled large volumes of tweets, news articles, blogs, and other online content used to train NLP models with Amazon Comprehend. My work involved sentiment classification, entity-focused tagging, and ensuring data quality and consistency to improve model accuracy and reliability. I also worked at Neural Technologies, where I annotated market price charts and visual trading patterns used for training computer vision models. This required strong attention to detail, pattern recognition, and consistency in labeling. More recently, I’ve been working as an AI Data Annotator at Vetto AI, further strengthening my experience with structured annotation workflows, quality assurance, and AI training pipelines. My background as a software engineer also gives me an advantage in understanding how labeled data impacts model performance, evaluation, and production systems.

Education

Work History