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Detail-oriented quality assurance professional with 8+ years of experience reviewing, evaluating, and labeling high-volume digital content for AI systems. Skilled in data annotation, failure analysis, quality checking, and strict adherence to 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. Brings strong attention to detail and clear communication skills as a Data Labeling Specialist.…Detail-oriented quality assurance professional with 8+ years of experience reviewing, evaluating, and labeling high-volume digital content for AI systems. Skilled in data annotation, failure analysis, quality checking, and strict adherence to 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. Brings strong attention to detail and clear communication skills as a Data Labeling Specialist.

Humphrey Omondi Okoth

QA Engineer, Data Annotator, Data Scientist, +2

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Detail-oriented quality assurance professional with 8+ years of experience reviewing, evaluating, and labeling high-volume digital content for AI systems. Skilled in data annotation, failure analysis, quality checking, and strict adherence to 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. Brings strong attention to detail and clear communication skills as a Data Labeling Specialist.…Detail-oriented quality assurance professional with 8+ years of experience reviewing, evaluating, and labeling high-volume digital content for AI systems. Skilled in data annotation, failure analysis, quality checking, and strict adherence to 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. Brings strong attention to detail and clear communication skills as a Data Labeling Specialist.

Available to hire

Detail-oriented quality assurance professional with 8+ years of experience reviewing, evaluating, and labeling high-volume digital content for AI systems. Skilled in data annotation, failure analysis, quality checking, and strict adherence to 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. Brings strong attention to detail and clear communication skills as a Data Labeling Specialist.

Skills

AI Data Labelling

Data Science

Data Visualization

Experience Level

AI Data Labelling

Expert

Data Science

Intermediate

Data Visualization

Intermediate

Work Experience

Senior Content Editor & Quality Reviewer (AI Systems) at Independent Contractor

June 1, 2022 - Present

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. Conducted systematic failure analysis and annotation to improve data quality for machine learning models. Collaborated on developing clear instructions and rubrics to ensure consistent labeling across teams. Maintained high accuracy and productivity while working independently in a remote, flexible environment.

Content Editor & Proofreader at Digital Publishing Solutions

January 1, 2019 - May 31, 2022

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.

Associate Editor at Horizon Media Group

August 1, 2016 - December 31, 2018

Evaluated and categorized technical and scientific content with a strong focus on accuracy and clarity. Supported structured workflows for content review and quality improvement.