Key Skills

Software

Clickworker

Data Annotation Tech

Remotasks

Scale AI

Toloka

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Computer Programming Coding

Data Collection

Fine Tuning

Prompt Response Writing SFT

Text Summarization

Freelancer Overview

I have hands-on experience in data labeling and AI training data workflows, with a strong focus on maintaining data accuracy, consistency, and relevance across various AI and machine learning projects. My work has involved annotating large datasets for computer vision (image classification, object detection), natural language processing (text classification, sentiment analysis, named entity recognition), and audio tasks. I’m proficient in using labeling platforms such as Labelbox, Prodigy, and Amazon SageMaker Ground Truth, and have collaborated closely with ML engineers and data scientists to refine annotation guidelines, ensure high inter-annotator agreement, and support iterative model training cycles. What sets me apart is my ability to combine technical precision with domain understanding, ensuring labeled data not only meets quality standards but also aligns with model objectives. I’ve contributed to high-impact projects involving training data for autonomous systems, virtual assistants, and content moderation tools, often taking a lead role in reviewing labeler outputs and providing feedback loops for continuous improvement. My attention to detail, scalability mindset, and understanding of ML model behavior allow me to bridge the gap between raw data and usable, high-quality training inputs.

Labeling Experience

Education

Work History