
George Ombui
I am a freelancer who willing to work in any given work
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About
Detail-oriented and analytical AI Quality Analyst with experience in data annotation, quality review, content evaluation, and accuracy improvement for AI systems. Skilled in reviewing datasets, identifying inconsistencies, applying guidelines, and maintaining high-quality standards in machine learning and AI-related tasks. Strong communication, problem-solving, and analytical skills with the ability to work independently and meet deadlines in fast-paced remote environments.
Experience
AI Quality Analyst at Freelance / Remote (2024-01 – Present)
- Reviewed AI-generated outputs to ensure accuracy, relevance, and compliance with project guidelines.
- Evaluated annotated data and flagged inconsistencies, errors, and low-quality submissions.
- Conducted quality checks on text, language, and categorization tasks for AI training improvement.
- Provided feedback to improve data quality and maintain project standards.
- Worked with large datasets and followed strict review procedures to support model performance.
- Maintained daily productivity and accuracy targets in remote work settings.
French Language Evaluator / Content Reviewer at Remote Contract (2023-01 – 2024-12)
- Assessed French and English language content for clarity, grammar, and relevance.
- Reviewed multilingual data to ensure consistency and correct interpretation.
- Applied project guidelines to evaluate language quality and task accuracy.
- Identified content issues and submitted detailed feedback reports.
- Supported quality improvement initiatives through accurate reviews and documentation.
Data Annotation Specialist at Freelance / Remote (2022-01 – 2023-12)
- Labeled and categorized text and language data for AI and machine learning projects.
- Verified task completeness and accuracy before final submission.
- Followed annotation rules and quality benchmarks to maintain reliable datasets.
- Collaborated with team leads and reviewers to resolve unclear cases.
- Helped improve dataset quality through consistent and detail-focused work.
