Peter Gurak

Key Skills

Software

AWS SageMaker

Encord

Labelbox

Label Studio

LightTag

Prodigy

Remotasks

SuperAnnotate

Scale AI

Top Subject Matter

Expert in NLP data labeling for AI across multiple industries.

Specialized in NLP labeling for AI, focusing on e-commerce, healthcare, legal, and conversational systems.

Expert in autonomous systems data labeling, specializing in LiDAR, RADAR, and sensor fusion annotation.

Top Data Types

3D Sensor

Computer Code Programming

Text

Top Task Types

Entity Ner Classification

Prompt Response Writing SFT

Text Summarization

Freelancer Overview

Profile Overview I am an experienced data labeling specialist with a strong background in creating high-quality training datasets for AI and machine learning models. My expertise includes performing complex text annotation tasks, such as Named Entity Recognition (NER), sentiment analysis, and part-of-speech tagging, to support Natural Language Processing (NLP) applications. I have extensive experience working with large, technical datasets, ensuring linguistic accuracy and consistency to produce error-free, reliable datasets tailored for industry-leading AI systems. With proficiency in tools like Label Studio, Prodigy, and Amazon SageMaker Ground Truth, I streamline data labeling workflows for efficiency and precision. My work spans diverse domains, including autonomous systems, healthcare, and e-commerce, showcasing my ability to adapt to varied project requirements. Combining attention to detail, domain expertise, and a commitment to excellence, I deliver labeled datasets that enhance the performance and reliability of AI-driven solutions.

Labeling Experience

NLP-Powered Title Optimization Expert

Label StudioTextEntity Ner ClassificationFine Tuning

Project Description Performed high-accuracy text annotation tasks, including Named Entity Recognition (NER), sentiment analysis, and part-of-speech tagging, to support the development and optimization of NLP models. Categorized and annotated extensive datasets of technical content to ensure linguistic accuracy, consistency, and alignment with project specifications. Delivered high-quality, labeled datasets used in training machine learning models for cutting-edge AI applications. Utilized advanced annotation tools, such as Label Studio and Prodigy, to streamline workflows, enhance productivity, and maintain dataset quality for industry-leading AI systems.

Project Description Performed high-accuracy text annotation tasks, including Named Entity Recognition (NER), sentiment analysis, and part-of-speech tagging, to support the development and optimization of NLP models. Categorized and annotated extensive datasets of technical content to ensure linguistic accuracy, consistency, and alignment with project specifications. Delivered high-quality, labeled datasets used in training machine learning models for cutting-edge AI applications. Utilized advanced annotation tools, such as Label Studio and Prodigy, to streamline workflows, enhance productivity, and maintain dataset quality for industry-leading AI systems.

2019

Education

Work History