Lefty Owen

Key Skills

Software

CrowdSource

Top Subject Matter

No subject matter listed

Top Data Types

Medical Dicom

Top Label Types

Entity Ner Classification

Freelancer Overview

I am a backend developer and AI training data enthusiast with hands-on experience in data annotation, image labeling, and web research to support machine learning projects. My background includes digital internships where I performed image annotation and ensured data quality for downstream AI applications, as well as roles in healthcare coordination that strengthened my attention to detail and understanding of medical data workflows. I am skilled in data quality review, ICT support, and digital literacy training, and I am passionate about advancing my expertise in AI, machine learning, and data preparation for intelligent systems, particularly in healthcare and enterprise environments. My collaborative approach, analytical mindset, and commitment to continuous learning enable me to contribute effectively to teams focused on building reliable AI solutions.

Labeling Experience

Data Annotator

CrowdsourceMedical DicomEntity Ner Classification

Worked on a healthcare-focused data labeling project involving document annotation and Named Entity Recognition (NER). The scope of the project included reviewing structured and semi-structured medical-related documents and accurately labeling entities such as medical terms, conditions, procedures, and relevant identifiers. Performed high-quality data labeling following defined annotation guidelines to support machine learning model training. Ensured consistency, accuracy, and completeness of annotations while adhering to data privacy and confidentiality standards. Participated in quality assurance reviews and incorporated feedback to improve labeling precision.

Worked on a healthcare-focused data labeling project involving document annotation and Named Entity Recognition (NER). The scope of the project included reviewing structured and semi-structured medical-related documents and accurately labeling entities such as medical terms, conditions, procedures, and relevant identifiers. Performed high-quality data labeling following defined annotation guidelines to support machine learning model training. Ensured consistency, accuracy, and completeness of annotations while adhering to data privacy and confidentiality standards. Participated in quality assurance reviews and incorporated feedback to improve labeling precision.

2020 - 2023

Education

Work History