Stephen Otonyo

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI Data Annotator and AI Trainer with a strong background in data labeling, content evaluation, and quality assessment for large language models. My work involves annotating and categorizing text data, reviewing AI-generated responses for accuracy and safety, and performing quality assurance to ensure high standards are met. I am skilled at following complex instructions, working with web-based annotation tools and AI task dashboards, and adapting quickly to new workflows. With excellent English comprehension and a keen eye for detail, I consistently deliver reliable results in remote environments and am comfortable handling both repetitive and sensitive content to support the development of advanced AI systems.

Labeling Experience

AI Text Data Annotation & Evaluation Project

Data Annotation TechTextPrompt Response Writing SFT

Worked on multiple text-based data labeling and evaluation tasks to support the training and improvement of large language models. Responsibilities included classifying and categorizing text data, reviewing AI-generated responses for correctness, relevance, tone, and policy compliance, and providing structured feedback to improve model alignment. Tasks were completed following detailed annotation guidelines, with emphasis on accuracy, consistency, and quality control. Regular quality checks were performed to ensure annotations met required standards and project benchmarks

Worked on multiple text-based data labeling and evaluation tasks to support the training and improvement of large language models. Responsibilities included classifying and categorizing text data, reviewing AI-generated responses for correctness, relevance, tone, and policy compliance, and providing structured feedback to improve model alignment. Tasks were completed following detailed annotation guidelines, with emphasis on accuracy, consistency, and quality control. Regular quality checks were performed to ensure annotations met required standards and project benchmarks

2024

Education

Work History