Methusellah Gisore

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Top Task Types

Audio Recording

Data Collection

Text Generation

Translation/Localization

Freelancer Overview

I’ve spent the last couple of years working on a wide range of data labeling projects for AI companies like Scale AI, Remotasks, and Appen. Most of my work has involved annotating text and images to help train models in areas like natural language processing, computer vision, and chatbot evaluation. Whether it’s classifying content, tagging images, or reviewing AI-generated responses, I’ve learned how important quality and consistency are when it comes to training smart and safe AI. What I bring to the table is a sharp eye for detail, a strong sense of responsibility, and the ability to quickly adapt to new tools and guidelines. I enjoy the process of breaking down complex tasks, following instructions precisely, and knowing that the work I do directly impacts how AI performs in the real world. I take pride in producing clean, accurate data that helps make these systems smarter and more helpful.

Labeling Experience

Chatbot Response Evaluation

AppenTextText GenerationEvaluation Rating

Evaluated AI-generated chatbot responses based on relevance, factual accuracy, tone, and safety. Annotated whether replies followed user instructions and aligned with task goals. Worked on question answering, instruction following, and dialogue completion tasks. Provided quality ratings and detailed reviewer comments to help fine-tune large language models. Also contributed to safety testing and red teaming by identifying harmful, biased, or nonsensical outputs.

Evaluated AI-generated chatbot responses based on relevance, factual accuracy, tone, and safety. Annotated whether replies followed user instructions and aligned with task goals. Worked on question answering, instruction following, and dialogue completion tasks. Provided quality ratings and detailed reviewer comments to help fine-tune large language models. Also contributed to safety testing and red teaming by identifying harmful, biased, or nonsensical outputs.

2022 - 2023

Education

Work History