Hud Katayeyanjue

Key Skills

Software

CrowdSource

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Classification

Text Generation

Evaluation Rating

Freelancer Overview

I am a detail-oriented Computer Science diploma holder with strong skills in data entry, categorization, and quality control, making me well-suited for data labeling and AI training data roles. My experience includes carefully reviewing information, identifying inconsistencies, and ensuring compliance with established procedures, all while maintaining high accuracy and meeting deadlines independently. I am proficient in Microsoft Excel, Word, PowerPoint, and Access, and I excel at following structured guidelines to deliver reliable and consistent results. My background has equipped me to adapt quickly to digital platforms that require precision, making me confident in my ability to contribute to projects involving data annotation, labeling, or quality assurance for AI systems.

Labeling Experience

AI Text & Content Annotation Practice Project

CrowdsourceTextClassificationText Generation

Independently completed structured text annotation and classification tasks to develop expertise in AI training workflows. Applied rule based guidelines to categorise text data, identify sentiment (positive, neutral, negative), and evaluate content quality. Practiced maintaining high accuracy by carefully reviewing instructions, ensuring consistent labeling decisions, and validating outputs before submission. Used Microsoft Excel to organise datasets and track labeling consistency. Demonstrated ability to follow complex written guidelines, maintain attention to detail across repetitive tasks, and apply structured decision making in text based data annotation.

Independently completed structured text annotation and classification tasks to develop expertise in AI training workflows. Applied rule based guidelines to categorise text data, identify sentiment (positive, neutral, negative), and evaluate content quality. Practiced maintaining high accuracy by carefully reviewing instructions, ensuring consistent labeling decisions, and validating outputs before submission. Used Microsoft Excel to organise datasets and track labeling consistency. Demonstrated ability to follow complex written guidelines, maintain attention to detail across repetitive tasks, and apply structured decision making in text based data annotation.

2024

Education

Work History