Carolyne Muyavila

Key Skills

Software

Appen

Labelbox

Telus

Top Subject Matter

Large Language Models and AI Text Systems

Computer Vision and Image Recognition

Speech Recognition and Audio Classification

Top Data Types

Text

Image

Audio

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

LLM Rater and AI Data Training Specialist (Freelance). Core strengths include Appen, Labelbox, and Telus. Education includes Bachelor of Science, Kenyatta University. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Audio Data Collection Specialist (Freelance)

TelusAudioData Collection

I contributed to audio data collection projects to enhance speech recognition and audio-based AI systems. Tasks included gathering, reviewing, and categorizing speech or environmental audio clips. Adhered strictly to guidelines to ensure diverse and high-quality audio samples. • Participated in speech and audio data acquisition • Verified audio quality for annotation tasks • Organized and categorized collected audio data • Contributed to dataset diversity for robust model training

I contributed to audio data collection projects to enhance speech recognition and audio-based AI systems. Tasks included gathering, reviewing, and categorizing speech or environmental audio clips. Adhered strictly to guidelines to ensure diverse and high-quality audio samples. • Participated in speech and audio data acquisition • Verified audio quality for annotation tasks • Organized and categorized collected audio data • Contributed to dataset diversity for robust model training

2022 - Present

Image Data Annotator (Freelance)

LabelboxImageClassification

As a data annotator, I labeled and categorized images in large-scale annotation projects. My responsibilities included following specific instructions to ensure consistent and accurate labeling across image datasets. I utilized annotation tools to refine image quality and train computer vision AI models. • Managed high-volume image annotation assignments • Maintained project-specific quality and consistency • Utilized tools for advanced labeling tasks • Collaborated on data quality improvements

As a data annotator, I labeled and categorized images in large-scale annotation projects. My responsibilities included following specific instructions to ensure consistent and accurate labeling across image datasets. I utilized annotation tools to refine image quality and train computer vision AI models. • Managed high-volume image annotation assignments • Maintained project-specific quality and consistency • Utilized tools for advanced labeling tasks • Collaborated on data quality improvements

2022 - Present

LLM Rater and AI Data Training Specialist (Freelance)

AppenText

This role involved evaluating and ranking large language model (LLM) responses to improve model performance. I assessed text data for clarity, accuracy, safety, and helpfulness based on detailed project guidelines. I also participated in red-teaming and synthetic data generation to enhance dataset diversity and reliability. • Rated LLM outputs for performance optimization • Conducted red-teaming for model safety evaluation • Generated and curated synthetic text for training • Collaborated to refine annotation processes

This role involved evaluating and ranking large language model (LLM) responses to improve model performance. I assessed text data for clarity, accuracy, safety, and helpfulness based on detailed project guidelines. I also participated in red-teaming and synthetic data generation to enhance dataset diversity and reliability. • Rated LLM outputs for performance optimization • Conducted red-teaming for model safety evaluation • Generated and curated synthetic text for training • Collaborated to refine annotation processes

2022 - Present

Education

Work History