Key Skills

Software

Appen

Clickworker

CrowdSource

Data Annotation Tech

OneForma

SuperAnnotate

Top Subject Matter

Worked extensively with large language models (LLMs) for AI-powered chatbots, sentiment analysis tools, and language translation systems. Handled large-scale text annotation tasks, including entity recognition, sentiment classification, and text summarization. Collaborated with teams to evaluate and improve NLP models, ensuring high-quality language understanding for diverse applications such as customer support automation and multilingual translation services. Key Achievements: Increased sentiment prediction accuracy by 25% for a major e-commerce platform by improving data labeling processes. Annotated over 150,000 text samples for NLP models, enhancing their accuracy in 5 different languages.

Focused on image and video data labeling for computer vision models used in autonomous driving systems. Specialized in object detection, lane detection, and traffic sign recognition, contributing to the training of AI systems designed for real-time decision-making in vehicles. Conducted rigorous QA on datasets to ensure model safety and reliability, working with large-scale image annotation projects. Key Achievements: Delivered highly accurate labeled datasets that reduced object detection errors by 20%, improving the safety of autonomous vehicle systems. Annotated more than 50,000 images for lane detection models, contributing to successful deployment in real-world scenarios.

Managed data labeling for medical imaging AI models, including annotating MRI, CT scan, and X-ray images for disease detection. Collaborated with medical experts to accurately label anatomical structures and abnormalities, enabling AI to assist with diagnoses in radiology. Reviewed model outputs, providing feedback on areas requiring data refinement to enhance diagnostic precision.

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Evaluation/Rating

Mapping

Prompt + Response Writing (SFT)

Text Generation

Freelancer Overview

I am a dedicated AI Data Annotator and LLM Evaluation Specialist with over 5 years of experience in curating and refining training data for cutting-edge AI models. My expertise lies in data labeling across a variety of domains, including natural language processing (NLP), computer vision, and sentiment analysis. I have successfully collaborated with leading AI companies to enhance model performance through high-precision data annotation, meticulous quality control, and in-depth evaluation of model outputs. My skills in data labeling tools such as Labelbox and Prodigy, alongside my proficiency in machine learning frameworks like TensorFlow and Keras, set me apart. I have led key projects where I significantly improved data quality, streamlined workflows, and reduced errors by 15-20%. With a strong foundation in AI training data, I help AI models better understand human language, context, and real-world scenarios, contributing to their overall accuracy and effectiveness.

Labeling Experience

Education

Work History