Arnold Kiprotich

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Label Types

Fine Tuning

Computer Programming Coding

Data Collection

Function Calling

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented data annotation specialist with hands-on experience labeling and structuring datasets for AI and machine learning training. My background includes working with both structured and unstructured text data, ensuring high-quality, consistent, and accurate annotations to improve model reliability. I am skilled in identifying edge cases and inconsistencies, which helps enhance the robustness of AI models. My technical expertise spans Python, automation workflows, and tools like BeautifulSoup and Selenium for web scraping, as well as data validation and output formatting in formats such as CSV and JSON. I thrive in high-volume, fast-paced environments and am adept at using AI-assisted tools to streamline data processing and annotation tasks. My experience with backend technologies and automation allows me to efficiently support advanced AI training data pipelines and deliver reliable results.

Labeling Experience

Data Annotation & AI Training Support

Scale AIComputer Code ProgrammingFine TuningComputer Programming Coding

Worked on AI training support tasks involving text labeling, evaluation, and structured response generation. Reviewed and rated AI-generated outputs to improve clarity, accuracy, and relevance. Followed detailed guidelines to ensure consistency across datasets. Performed text classification, structured formatting, and validation checks before submission. Cleaned and organized data using Python when required. Ensured high-quality outputs by identifying inconsistencies and correcting errors before final delivery.

Worked on AI training support tasks involving text labeling, evaluation, and structured response generation. Reviewed and rated AI-generated outputs to improve clarity, accuracy, and relevance. Followed detailed guidelines to ensure consistency across datasets. Performed text classification, structured formatting, and validation checks before submission. Cleaned and organized data using Python when required. Ensured high-quality outputs by identifying inconsistencies and correcting errors before final delivery.

2024 - 2025

Education

Work History