Ikechukwu Ozuruoke

Key Skills

Software

Label Studio

Appen

Scale AI

Mercor

Micro1

Top Subject Matter

AI-generated Content Evaluation

Search Quality Evaluation

Digital Content Assessment

Top Data Types

Text

Image

Video

Top Task Types

Classification

Question Answering

RLHF

Text Summarization

Text Generation

Object Detection

Fine-tuning

Freelancer Overview

Senior Research Analyst / AI Data Evaluator. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Appen, and Scale AI. Education includes Bachelor of Science, Delaware State University (2024). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Senior Research Analyst / AI Data Evaluator

Label StudioText

In this role, I evaluated AI-generated outputs from LLMs for accuracy, relevance, and adherence to provided guidelines. I performed data annotation, labeling, and classification to support the development and optimization of machine learning models. I conducted advanced web research and provided detailed feedback to enhance model performance and reduce errors. • Assessed and rated LLM outputs using structured evaluation guidelines • Labeled and classified text datasets for AI training • Maintained high levels of accuracy (>95%) during remote annotation tasks • Provided actionable feedback to optimize AI outputs

In this role, I evaluated AI-generated outputs from LLMs for accuracy, relevance, and adherence to provided guidelines. I performed data annotation, labeling, and classification to support the development and optimization of machine learning models. I conducted advanced web research and provided detailed feedback to enhance model performance and reduce errors. • Assessed and rated LLM outputs using structured evaluation guidelines • Labeled and classified text datasets for AI training • Maintained high levels of accuracy (>95%) during remote annotation tasks • Provided actionable feedback to optimize AI outputs

2025 - Present

Search Quality Evaluator

AppenText

I evaluated search engine results for relevance, usefulness, and user intent under E-E-A-T guidelines. My work involved rating, classifying, and annotating large volumes of web results to support AI training and ranking algorithms. I consistently met high-accuracy benchmarks while working remotely on strict guidelines. • Rated web search results for quality and intent alignment • Applied search quality and relevance standards to data annotation • Helped train algorithms for search ranking improvement • Worked under high-volume, accuracy-driven environments

I evaluated search engine results for relevance, usefulness, and user intent under E-E-A-T guidelines. My work involved rating, classifying, and annotating large volumes of web results to support AI training and ranking algorithms. I consistently met high-accuracy benchmarks while working remotely on strict guidelines. • Rated web search results for quality and intent alignment • Applied search quality and relevance standards to data annotation • Helped train algorithms for search ranking improvement • Worked under high-volume, accuracy-driven environments

2025 - 2026

Web Content Evaluator

Scale AITextClassification

In this capacity, I evaluated online content for quality, credibility, and relevance, labeling and categorizing datasets utilized in AI training. I ensured datasets were consistently compliant with complex evaluation and labeling frameworks. My responsibilities enhanced the effectiveness of AI-driven content assessment models. • Labeled and categorized text-based datasets for AI training pipelines • Applied content quality standards and labeling guidelines • Supported machine learning efforts by generating reliable annotated data • Enhanced dataset quality through validation and compliance processes

In this capacity, I evaluated online content for quality, credibility, and relevance, labeling and categorizing datasets utilized in AI training. I ensured datasets were consistently compliant with complex evaluation and labeling frameworks. My responsibilities enhanced the effectiveness of AI-driven content assessment models. • Labeled and categorized text-based datasets for AI training pipelines • Applied content quality standards and labeling guidelines • Supported machine learning efforts by generating reliable annotated data • Enhanced dataset quality through validation and compliance processes

2023 - 2024

Education

Work History