Elizabeth Osung

Key Skills

Freelancer Overview

With over five years of experience in HR operations and administrative leadership, I have developed a strong foundation in data management, record keeping, and process optimization—skills that are essential for high-quality data labeling and annotation projects. My work has required meticulous attention to detail, strict adherence to data protection standards, and the use of digital tools like Microsoft Dynamics 365, HRIS, and CRM systems to ensure accurate and compliant data handling. I am adept at managing confidential information, tracking training and performance metrics, and supporting seamless onboarding processes, all of which translate well to maintaining data integrity and quality in AI training data roles. My background in the pharmaceutical and recruitment sectors has given me exposure to sensitive medical and HR data, reinforcing my commitment to accuracy, confidentiality, and continuous improvement in data-driven environments.

Labeling Experience

Data Annotation Analyst

LabelboxImageClassification

I carefully examined datasets including images, text, audio, and video files, and applied accurate labels or tags based on predefined project criteria. I worked with large volumes of data while maintaining high levels of precision to ensure consistent labeling for effective model training. I analyzed data for specific objects, patterns, or key components and adapted annotation guidelines to each project's requirements. • Identified objects in images, transcribed spoken words in audio files, and tagged entities in text. • Provided feedback and insights on the annotation process to suggest improvements. • Maintained thorough, accurate records of all annotated data and documented observations or issues. • Used platforms such as Labelbox, Hugging Face, AnnotationLab, and Appen for daily data labeling work.

I carefully examined datasets including images, text, audio, and video files, and applied accurate labels or tags based on predefined project criteria. I worked with large volumes of data while maintaining high levels of precision to ensure consistent labeling for effective model training. I analyzed data for specific objects, patterns, or key components and adapted annotation guidelines to each project's requirements. • Identified objects in images, transcribed spoken words in audio files, and tagged entities in text. • Provided feedback and insights on the annotation process to suggest improvements. • Maintained thorough, accurate records of all annotated data and documented observations or issues. • Used platforms such as Labelbox, Hugging Face, AnnotationLab, and Appen for daily data labeling work.

2024

Education

Work History