Isaiah Kiptarus

Key Skills

Software

Mindrift

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented AI Trainer and Data Annotation Specialist with extensive experience supporting AI projects through careful data labeling, evaluation, and quality control. My background in physics and hands-on work with natural language processing tasks has equipped me to review and annotate diverse datasets, ensuring accuracy, contextual relevance, and adherence to project guidelines. I have contributed to the development and refinement of AI models by creating prompts, evaluating outputs for linguistic quality, and conducting thorough content reviews. My skills in prompt engineering, data evaluation, and linguistic analysis allow me to enhance the reliability and performance of AI systems, while my experience as a content writer and editor ensures clarity and precision in all tasks I undertake. I am committed to delivering high-quality training data that drives continuous AI model improvement.

Labeling Experience

Comparing two responses

MindriftTextPrompt Response Writing SFT

I worked on a Mindrift data annotation project where I compared two AI generated responses and chose the better one based on accuracy, relevance, clarity, and how well it followed the instructions. My role involved carefully reviewing text outputs, spotting factual or logical mistakes, rating each response using set criteria, and giving brief explanations for my decisions. The project handled large volumes of data, so it required strong attention to detail, consistent use of guidelines, and meeting deadlines for assigned tasks. I maintained high quality work by double checking my annotations and applying feedback, helping improve the overall performance and reliability of the AI models.

I worked on a Mindrift data annotation project where I compared two AI generated responses and chose the better one based on accuracy, relevance, clarity, and how well it followed the instructions. My role involved carefully reviewing text outputs, spotting factual or logical mistakes, rating each response using set criteria, and giving brief explanations for my decisions. The project handled large volumes of data, so it required strong attention to detail, consistent use of guidelines, and meeting deadlines for assigned tasks. I maintained high quality work by double checking my annotations and applying feedback, helping improve the overall performance and reliability of the AI models.

2023 - 2025

Education

Work History