Jennifer Oriwoh

Key Skills

Software

CrowdSource

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Text Summarization

RLHF

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am a computer engineering graduate with hands-on experience working with AI-assisted systems and text-based workflows. My background includes reviewing, classifying, and validating written content, supporting automation tasks, and ensuring accuracy and consistency across structured data. I have worked with tools such as ChatGPT and Microsoft Copilot, where my focus has been on evaluating AI-generated responses, following detailed instructions, and maintaining data quality. I am comfortable working independently on repetitive, guideline-driven tasks and handling large volumes of text data with attention to detail. My approach emphasizes accuracy, consistency, and responsible use of AI, and I am interested in contributing to AI training projects that require careful judgment and reliable data labeling.

Labeling Experience

AI and Automation Consultant

CrowdsourceTextClassificationText Summarization

Reviewed and validated AI-generated text outputs for clarity, relevance, and alignment with task instructions. Evaluated responses produced by AI tools such as ChatGPT and Microsoft Copilot, focusing on accuracy, completeness, and adherence to provided guidelines. Identified and documented errors, inconsistencies, and unclear responses to support improvements in AI system performance. • Conducted detailed evaluation and quality checking of large volumes of text data. • Applied consistent interpretation of labeling guidelines across multiple prompts and scenarios. • Supported structured text annotation and classification tasks. • Maintained objectivity, attention to detail, and consistency throughout the review process.

Reviewed and validated AI-generated text outputs for clarity, relevance, and alignment with task instructions. Evaluated responses produced by AI tools such as ChatGPT and Microsoft Copilot, focusing on accuracy, completeness, and adherence to provided guidelines. Identified and documented errors, inconsistencies, and unclear responses to support improvements in AI system performance. • Conducted detailed evaluation and quality checking of large volumes of text data. • Applied consistent interpretation of labeling guidelines across multiple prompts and scenarios. • Supported structured text annotation and classification tasks. • Maintained objectivity, attention to detail, and consistency throughout the review process.

2022

Education

Work History