Key Skills

Software

Appen

CloudFactory

CrowdSource

Data Annotation Tech

Labelbox

Mindrift

Top Subject Matter

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Top Data Types

Image

Text

Video

Top Label Types

Action Recognition

Bounding Box

Classification

Data Collection

Freelancer Overview

With over four years of hands-on experience in data labeling and AI training data, I have developed deep expertise in annotating large datasets with precision and efficiency. At Mindrift, I annotated and labeled over 100,000 data points with 99% accuracy, contributing directly to the training of five machine learning models that achieved 97% precision and recall. I played a key role in refining annotation guidelines, which led to a 20% faster process and enhanced model performance. My proficiency in tools like Snorkel and Labelbox, combined with strong analytical and communication skills, consistently ensured high-quality outputs and smooth collaboration with data science teams. Earlier in my career at Remote Task, I successfully labeled over 50,000 data items and contributed to three high-performing machine learning models. My ongoing commitment to professional development and continuous improvement in annotation practices has allowed me to stay current with evolving industry standards. These experiences, along with my certification as a Data Management Professional and a background in mathematics, set me apart as a reliable and results-driven data annotator.

Labeling Experience

Education

Work History