Lynn Muthoni

Key Skills

Software

Argilla

Clickworker

CloudFactory

Google Cloud Vertex AI

Mercor

Telus

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Bounding Box

Classification

Data Collection

Evaluation Rating

Freelancer Overview

I have experience contributing to AI training and data quality tasks that involve reviewing, annotating, and evaluating text-based content to improve model accuracy and relevance. My strengths include careful guideline interpretation, consistent labeling, and providing clear human feedback on language quality, tone, factual alignment, and contextual appropriateness. I am comfortable working with structured annotation workflows, quality checks, and repetitive tasks that require high attention to detail. In addition, my background in content evaluation, research support, and digital workflows enables me to contribute effectively to AI training projects across language, search relevance, and content classification domains. I bring strong analytical skills, reliability, and the ability to adapt quickly to new task instructions and tools. I am particularly suited for human-in-the-loop AI training work where precision, judgment, and consistency directly impact model performance.

Labeling Experience

Search Relevance & Content Classification for AI Training

TelusImageRelationshipClassification

Evaluated AI-generated descriptions and responses for usability, emotional tone, contextual accuracy, and user relevance. Applied human judgment to nuanced content where subjective quality, clarity, and real-world applicability were essential for improving model performance.

Evaluated AI-generated descriptions and responses for usability, emotional tone, contextual accuracy, and user relevance. Applied human judgment to nuanced content where subjective quality, clarity, and real-world applicability were essential for improving model performance.

2022

Text Annotation & AI Response Evaluation for Language Models

Scale AITextEntity Ner ClassificationSegmentation

Reviewed and annotated text-based datasets used to train and evaluate large language models. Tasks included rating AI-generated responses for relevance, clarity, tone, and instruction adherence; classifying content based on predefined guidelines; and providing structured human feedback to improve model outputs. Ensured high annotation consistency and data quality by carefully following task instructions and performing self-quality checks.

Reviewed and annotated text-based datasets used to train and evaluate large language models. Tasks included rating AI-generated responses for relevance, clarity, tone, and instruction adherence; classifying content based on predefined guidelines; and providing structured human feedback to improve model outputs. Ensured high annotation consistency and data quality by carefully following task instructions and performing self-quality checks.

2021 - 2024

Education

Work History