Henry O.

Key Skills

Software

Don't disclose

Other

Top Subject Matter

LLM response evaluation and dataset validation

Dataset validation and enrichment

Quality assurance for annotated datasets

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Annotation & LLM Evaluation Specialist (Freelance | Remote). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Arts, University of Port Harcourt (2018). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Quality Assurance & Project Support Assistant (Remote)

Don't discloseTextClassification

Performed quality checks on annotated text datasets to ensure compliance with project guidelines and maintain consistency. Supported workflow coordination and documentation for remote teams to keep annotation operations aligned with requirements. Contributed to reliable dataset preparation through monitoring and guideline adherence. • Conducted quality checks on annotated datasets • Ensured compliance with labeling/project guidelines • Coordinated remote workflows and documentation • Supported multiple project types and tooling with flexibility

2020 - Present

AI Data Annotation & LLM Evaluation Specialist (Freelance | Remote)

Don't discloseTextClassification

Freelance AI Data Annotation & LLM Evaluation specialist delivering high-volume text classification, sentiment analysis, and relevance evaluation for dataset construction and model improvement. Conducted evaluation of AI-generated responses to enhance accuracy and overall performance while enforcing quality and guideline compliance across projects. Identified inconsistencies in provided data and contributed recommendations to improve dataset integrity and usability. • Performed text classification, sentiment analysis, and relevance labeling • Rated or evaluated LLM outputs to support model accuracy improvements • Applied quality control checks to maintain high accuracy and productivity • Reported and corrected data inconsistencies for dataset enhancement

2020 - Present

Research & Data Validation Analyst (Independent / Academic Projects)

OtherText

Researched and validated datasets through structured academic/independent projects to ensure reliability and enrich data used for downstream AI tasks. Verified information using multiple credible sources and produced clear documentation aligned with project goals. Supported dataset quality through systematic review and enrichment activities. • Validated and enriched datasets through structured research • Verified information using multiple credible sources • Produced concise documentation aligned to project goals • Supported dataset reliability and quality improvement

2019 - Present

Education

Work History