Abigail User
@abigailuser3
Detail-oriented data annotator driving high-accuracy ML training data.
What I'm looking for
I am a detail-oriented data annotator with three years of hands-on experience delivering high-accuracy data labeling, quality checks, and process improvements for machine learning and AI projects. I have worked with international clients including RWS Group, consistently ensuring data integrity and optimizing workflows to improve model performance.
I have implemented QA protocols that reduced annotation errors and led process optimizations that improved efficiency, authored onboarding guidelines, and trained new annotators. I combine technical proficiency with tools like Labelbox and SageMaker Ground Truth with practical scripting in Python and basic SQL to accelerate annotation throughput and reliability.
Experience
Work history, roles, and key accomplishments
Accurately annotated and labeled 100,000+ text, image, and audio data points with 99%+ accuracy, implemented QA protocols that reduced annotation errors by 20% and improved model training data quality.
Data Annotation Specialist
Emerald Project
Mar 2024 - Aug 2025 (1 year 5 months)
Processed and categorized large datasets to achieve a 97% validation pass rate, increased labeling speed via advanced platforms and trained two new annotators to improve consistency.
Education
Degrees, certifications, and relevant coursework
University of Uyo
Bachelor of Science, Accounting
Completed a Bachelor of Science in Accounting, providing foundational knowledge in financial reporting, auditing, and accounting principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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