Judith Auma

Detail-oriented quality assurance professional with 1+ years of experience reviewing, evaluating, and labeling high-volume digital content for AI systems. Expertise in data annotation, failure analysis, quality checking, and following detailed guidelines to ensure accuracy and consistency. Proven ability to work independently, meet deadlines, and deliver high-quality labeled data that improves machine learning model performance.

Eager to contribute strong attention to detail and clear communication skills as a Data Labeling Specialist.

AI Evaluator and Data Annotator - Independent Contractor

(2025-06)

• Reviewed, labeled, and performed quality checks on large volumes of digital content including text and AI-generated outputs
• Applied detailed labeling guidelines and evaluation criteria to categorize content accurately and identify edge cases
• Collaborated on developing clear instructions and rubrics that ensure consistent labeling across teams
• Maintained high accuracy and productivity while working independently in a remote, flexible environment

Proofreader - Digital Publishing Solutions - Remote

(2024-01 - 2025-04)

• Performed detailed review, evaluation, and quality assurance on complex digital documents and content
• Reduced error rates by 40% through careful attention to detail and consistent application of standards
• Followed precise guidelines and provided clear written feedback to support content accuracy

Bachelor - Purchasing and supply management - University of Embu (2017-09 - 2021-09)