Okorie Chidubem

Key Skills

Software

OneForma

Top Subject Matter

AI-generated content

Response Evaluation

Qa Domain Expertise

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Freelance Data Annotator / AI Evaluator. Core strengths include OneForma, Internal, and Proprietary Tooling. Education includes Bachelor of Engineering, Michael Okpara University of Agriculture, Umudike (2024). AI-training focus includes data types such as Text and Document and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Freelance Data Annotator / AI Evaluator

OneformaText

As a freelance data annotator and AI evaluator, I systematically assessed AI-generated responses for accuracy, relevance, and safety using structured guidelines. Every day, I compared and rated multiple outputs, ensuring the highest quality selection through rubric-based scoring. My work included identifying errors and providing clear explanations to support high-accuracy, consistent results. • Evaluated 200+ AI responses per day for factual accuracy. • Utilized Excel and Google Sheets to organize and track results. • Specialized in QA, content moderation, and policy compliance. • Platforms included Outlier, OneForma, and remote freelancing environments.

As a freelance data annotator and AI evaluator, I systematically assessed AI-generated responses for accuracy, relevance, and safety using structured guidelines. Every day, I compared and rated multiple outputs, ensuring the highest quality selection through rubric-based scoring. My work included identifying errors and providing clear explanations to support high-accuracy, consistent results. • Evaluated 200+ AI responses per day for factual accuracy. • Utilized Excel and Google Sheets to organize and track results. • Specialized in QA, content moderation, and policy compliance. • Platforms included Outlier, OneForma, and remote freelancing environments.

2025 - Present

Data Organization & Cleaning Project

DocumentData Collection

In this Excel-based project, I organized raw datasets into structured formats to enhance usability. I identified and corrected inconsistencies and duplicate entries for cleaner datasets. Through these tasks, I gained hands-on experience with data cleaning and data preparation workflows. • Applied data cleaning techniques in Excel. • Improved data consistency and reduced duplication. • Structured datasets for easier analysis. • Practiced essential skills for data annotation and preparation roles.

In this Excel-based project, I organized raw datasets into structured formats to enhance usability. I identified and corrected inconsistencies and duplicate entries for cleaner datasets. Through these tasks, I gained hands-on experience with data cleaning and data preparation workflows. • Applied data cleaning techniques in Excel. • Improved data consistency and reduced duplication. • Structured datasets for easier analysis. • Practiced essential skills for data annotation and preparation roles.

2024 - 2024

AI Response Evaluation Practice Project

Text

I led an AI Response Evaluation Practice Project by creating structured rubrics and iterative evaluation processes. My focus was on improving the quality and safety of AI-generated outputs through testing and feedback. I simulated real-world annotation workflows to build speed and accuracy in data evaluation. • Developed custom rubrics for consistent evaluation. • Emphasized clarity, factual accuracy, and safety compliance. • Enhanced prompt formulation and iterative improvement. • Built annotation workflow experience relevant to real projects.

I led an AI Response Evaluation Practice Project by creating structured rubrics and iterative evaluation processes. My focus was on improving the quality and safety of AI-generated outputs through testing and feedback. I simulated real-world annotation workflows to build speed and accuracy in data evaluation. • Developed custom rubrics for consistent evaluation. • Emphasized clarity, factual accuracy, and safety compliance. • Enhanced prompt formulation and iterative improvement. • Built annotation workflow experience relevant to real projects.

2024 - 2024

Education

Work History