Key Skills

Software

Appen

CVAT

Labelbox

OneForma

Roboflow

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Bounding Box

Classification

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I have extensive experience in data labeling and AI training data, specializing in quality assurance and annotation for machine learning models. As a Machine Learning Quality Auditor and Data Annotator at Hugo, I ensure annotation accuracy, optimize workflows, and provide critical feedback to improve AI model performance. My expertise spans image, video, text, and audio annotation, applying metadata, and implementing QA processes to maintain high data integrity. With over eight years of experience in data handling, I have worked on AI model evaluation, error analysis, and process optimization. I collaborate closely with QA leads and engineers to refine labeling techniques and enhance annotation efficiency. My work includes identifying labeling edge cases, managing annotators, and tracking performance metrics to drive continuous improvement. Additionally, my background in data entry, research, and copy editing strengthens my ability to analyze complex datasets and ensure high-quality AI training data. I am highly detail-oriented, adaptable, and committed to delivering accurate, structured data that powers AI-driven innovations in computer vision and NLP.

Labeling Experience

Education

Work History