Esther Njuguna

Key Skills

Software

Appen

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Top Data Types

Text

Top Label Types

Entity Ner Classification

Evaluation Rating

Freelancer Overview

I am an experienced English writer and freelance AI trainer with a strong background in data annotation, conversational AI evaluation, and multi-turn dialogue creation for NLP projects. My work involves designing and stress-testing realistic human-AI conversations, simulating diverse user personas, and identifying key language model failure modes such as hallucination and instruction drift. I excel at delivering high-quality, structured feedback and have contributed to projects that require advanced English proficiency, prompt engineering, and meticulous quality assurance. My approach blends storytelling skills with a keen linguistic awareness, enabling me to produce nuanced, context-rich training data that enhances the performance and reliability of AI systems. I am adaptable, methodical, and thrive in dynamic, remote, and project-based environments.

Labeling Experience

Freelance AI Data Labeler / Annotation Contributor

AppenTextEntity Ner Classification

Served as a freelance data labeler, annotating and reviewing large volumes of text-based datasets for natural language processing and conversational AI model development. Performed intent, sentiment, and entity tagging based on strict labeling guidelines to ensure high-quality, consistent training data. Identified ambiguous samples, edge cases, and flagged annotation conflicts for escalation. • Labeled conversational and NLP datasets. • Applied predefined taxonomies to diverse text samples. • Validated AI-generated outputs for guideline adherence. • Maintained documentation and provided clear feedback using annotation instructions.

Served as a freelance data labeler, annotating and reviewing large volumes of text-based datasets for natural language processing and conversational AI model development. Performed intent, sentiment, and entity tagging based on strict labeling guidelines to ensure high-quality, consistent training data. Identified ambiguous samples, edge cases, and flagged annotation conflicts for escalation. • Labeled conversational and NLP datasets. • Applied predefined taxonomies to diverse text samples. • Validated AI-generated outputs for guideline adherence. • Maintained documentation and provided clear feedback using annotation instructions.

2024

Digital & Online Task Contributor (AI & QA Projects)

AppenTextEvaluation Rating

Worked on digital microtasks involving transcription checks, dialogue validation, data categorization, and content moderation to support AI projects. Conducted comprehensive quality assurance reviews on labeled data to minimize annotation errors and ensure data integrity. Demonstrated strong productivity, reliability, and adherence to platform-specific annotation standards. • Completed transcription and dialogue validation microtasks for AI. • Reviewed and categorized data for multiple QA projects. • Monitored and corrected annotation drift and noise. • Upheld productivity and consistency throughout different projects.

Worked on digital microtasks involving transcription checks, dialogue validation, data categorization, and content moderation to support AI projects. Conducted comprehensive quality assurance reviews on labeled data to minimize annotation errors and ensure data integrity. Demonstrated strong productivity, reliability, and adherence to platform-specific annotation standards. • Completed transcription and dialogue validation microtasks for AI. • Reviewed and categorized data for multiple QA projects. • Monitored and corrected annotation drift and noise. • Upheld productivity and consistency throughout different projects.

2023

Education

Work History