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AI data annotation and quality review candidate with hands-on experience evaluating AI-generated and research-related content, applying detailed project guidelines, and maintaining accuracy across medical and information-review tasks. Experienced in data annotation, data labeling, content evaluation, quality review, fact-checking, and guideline-based assessment. Reviewed 100+ data items per project for accuracy, relevance, consistency, and completeness, escalating unclear cases when needed…AI data annotation and quality review candidate with hands-on experience evaluating AI-generated and research-related content, applying detailed project guidelines, and maintaining accuracy across medical and information-review tasks. Experienced in data annotation, data labeling, content evaluation, quality review, fact-checking, and guideline-based assessment. Reviewed 100+ data items per project for accuracy, relevance, consistency, and completeness, escalating unclear cases when needed

Peter Ikor-ishor Ibu-monkom

AI Evaluator, AI Trainer, Data Annotator, +1

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AI data annotation and quality review candidate with hands-on experience evaluating AI-generated and research-related content, applying detailed project guidelines, and maintaining accuracy across medical and information-review tasks. Experienced in data annotation, data labeling, content evaluation, quality review, fact-checking, and guideline-based assessment. Reviewed 100+ data items per project for accuracy, relevance, consistency, and completeness, escalating unclear cases when needed…AI data annotation and quality review candidate with hands-on experience evaluating AI-generated and research-related content, applying detailed project guidelines, and maintaining accuracy across medical and information-review tasks. Experienced in data annotation, data labeling, content evaluation, quality review, fact-checking, and guideline-based assessment. Reviewed 100+ data items per project for accuracy, relevance, consistency, and completeness, escalating unclear cases when needed

Available to hire

AI data annotation and quality review candidate with hands-on experience evaluating AI-generated and research-related content, applying
detailed project guidelines, and maintaining accuracy across medical and information-review tasks. Experienced in data annotation, data
labeling, content evaluation, quality review, fact-checking, and guideline-based assessment. Reviewed 100+ data items per project for
accuracy, relevance, consistency, and completeness, escalating unclear cases when needed