Owen Klein

Key Skills

Software

Labelbox

SuperAnnotate

Prodigy

Top Subject Matter

Machine Learning

Natural Language Processing

Artificial Intelligence

Top Data Types

Image

Text

Top Task Types

Classification

Entity Ner Classification

Freelancer Overview

Senior AI Data Specialist. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution.

Labeling Experience

Senior Data Labeler

LabelboxImageClassification

As a Senior Data Labeler, I annotated and labeled large datasets for machine learning and AI model training. My duties included image, text, and audio annotation following detailed project guidelines, alongside quality assurance reviews and error correction. I was responsible for maintaining dataset accuracy, consistency, and meeting strict annotation deadlines. • Performed high-volume image, text, and audio data annotation • Conducted rigorous quality assurance checks and corrected labeling errors • Ensured timely delivery and consistent productivity • Specialized in complex labeling projects for AI and ML applications.

As a Senior Data Labeler, I annotated and labeled large datasets for machine learning and AI model training. My duties included image, text, and audio annotation following detailed project guidelines, alongside quality assurance reviews and error correction. I was responsible for maintaining dataset accuracy, consistency, and meeting strict annotation deadlines. • Performed high-volume image, text, and audio data annotation • Conducted rigorous quality assurance checks and corrected labeling errors • Ensured timely delivery and consistent productivity • Specialized in complex labeling projects for AI and ML applications.

2022 - Present

AI Data Annotator

SuperannotateTextEntity Ner Classification

As an AI Data Annotator, I categorized datasets for NLP and computer vision projects, with a primary focus on text classification and sentiment analysis. My work involved reviewing team annotations to uphold quality, and I followed extensive guidelines for AI training pipelines. The role required precision in entity recognition and maintaining project quality benchmarks. • Classified and labeled textual data for natural language processing • Performed sentiment analysis and entity recognition on large datasets • Reviewed peer annotations and provided feedback for quality control • Followed detailed annotation guidelines for AI model training.

As an AI Data Annotator, I categorized datasets for NLP and computer vision projects, with a primary focus on text classification and sentiment analysis. My work involved reviewing team annotations to uphold quality, and I followed extensive guidelines for AI training pipelines. The role required precision in entity recognition and maintaining project quality benchmarks. • Classified and labeled textual data for natural language processing • Performed sentiment analysis and entity recognition on large datasets • Reviewed peer annotations and provided feedback for quality control • Followed detailed annotation guidelines for AI model training.

2020 - 2022

Data Labeling Specialist

ProdigyTextClassification

As a Data Labeling Specialist, I annotated both structured and unstructured datasets for machine learning model development. I prepared and cleaned data for AI training and evaluation workflows, improving dataset reliability by flagging inconsistencies. Progress tracking and quality metrics were maintained using spreadsheets. • Annotated and categorized diverse textual datasets • Identified and flagged inaccurate or inconsistent data • Prepared datasets for downstream AI and ML evaluation • Tracked annotation status and quality in project spreadsheets.

As a Data Labeling Specialist, I annotated both structured and unstructured datasets for machine learning model development. I prepared and cleaned data for AI training and evaluation workflows, improving dataset reliability by flagging inconsistencies. Progress tracking and quality metrics were maintained using spreadsheets. • Annotated and categorized diverse textual datasets • Identified and flagged inaccurate or inconsistent data • Prepared datasets for downstream AI and ML evaluation • Tracked annotation status and quality in project spreadsheets.

2019 - 2020

Education

Work History