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I am a meticulous Data Annotation Specialist, AI Trainer, and AI Evaluator with more than five years of remote experience supporting machine learning and generative AI workflows. I specialize in annotating and evaluating text, images, audio, and other digital content while maintaining accuracy, consistency, confidentiality, and strong productivity. My experience includes sentiment analysis, intent classification, entity recognition, content categorization, prompt evaluation, quality assurance, and human feedback for AI systems. I enjoy working independently, following detailed guidelines, and identifying the edge cases or inconsistencies that can improve dataset quality and model performance. I bring strong research, analytical, and communication skills to every project, along with experience collaborating asynchronously with distributed teams. I am comfortable learning new annotation platforms, taxonomies, evaluation rubrics, and structured data workflows quickly.…I am a meticulous Data Annotation Specialist, AI Trainer, and AI Evaluator with more than five years of remote experience supporting machine learning and generative AI workflows. I specialize in annotating and evaluating text, images, audio, and other digital content while maintaining accuracy, consistency, confidentiality, and strong productivity. My experience includes sentiment analysis, intent classification, entity recognition, content categorization, prompt evaluation, quality assurance, and human feedback for AI systems. I enjoy working independently, following detailed guidelines, and identifying the edge cases or inconsistencies that can improve dataset quality and model performance. I bring strong research, analytical, and communication skills to every project, along with experience collaborating asynchronously with distributed teams. I am comfortable learning new annotation platforms, taxonomies, evaluation rubrics, and structured data workflows quickly.

Victor Kibuchi Igati

Data Annotator, AI Trainer, AI Evaluator, +2

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I am a meticulous Data Annotation Specialist, AI Trainer, and AI Evaluator with more than five years of remote experience supporting machine learning and generative AI workflows. I specialize in annotating and evaluating text, images, audio, and other digital content while maintaining accuracy, consistency, confidentiality, and strong productivity. My experience includes sentiment analysis, intent classification, entity recognition, content categorization, prompt evaluation, quality assurance, and human feedback for AI systems. I enjoy working independently, following detailed guidelines, and identifying the edge cases or inconsistencies that can improve dataset quality and model performance. I bring strong research, analytical, and communication skills to every project, along with experience collaborating asynchronously with distributed teams. I am comfortable learning new annotation platforms, taxonomies, evaluation rubrics, and structured data workflows quickly.…I am a meticulous Data Annotation Specialist, AI Trainer, and AI Evaluator with more than five years of remote experience supporting machine learning and generative AI workflows. I specialize in annotating and evaluating text, images, audio, and other digital content while maintaining accuracy, consistency, confidentiality, and strong productivity. My experience includes sentiment analysis, intent classification, entity recognition, content categorization, prompt evaluation, quality assurance, and human feedback for AI systems. I enjoy working independently, following detailed guidelines, and identifying the edge cases or inconsistencies that can improve dataset quality and model performance. I bring strong research, analytical, and communication skills to every project, along with experience collaborating asynchronously with distributed teams. I am comfortable learning new annotation platforms, taxonomies, evaluation rubrics, and structured data workflows quickly.

Available to hire

I am a meticulous Data Annotation Specialist, AI Trainer, and AI Evaluator with more than five years of remote experience supporting machine learning and generative AI workflows. I specialize in annotating and evaluating text, images, audio, and other digital content while maintaining accuracy, consistency, confidentiality, and strong productivity. My experience includes sentiment analysis, intent classification, entity recognition, content categorization, prompt evaluation, quality assurance, and human feedback for AI systems.

I enjoy working independently, following detailed guidelines, and identifying the edge cases or inconsistencies that can improve dataset quality and model performance. I bring strong research, analytical, and communication skills to every project, along with experience collaborating asynchronously with distributed teams. I am comfortable learning new annotation platforms, taxonomies, evaluation rubrics, and structured data workflows quickly.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Data Annotation & AI Training Specialist at Edstellar

January 1, 2023 - Present

Annotates, classifies, and reviews large volumes of text and digital content for machine learning and artificial intelligence training workflows. Evaluates AI-generated responses for accuracy, relevance, completeness, clarity, safety, and instruction adherence. Performs quality-control reviews, corrects labeling errors, identifies ambiguous examples and duplicate records, and documents recurring annotation issues and edge cases. Classifies text by intent, sentiment, topic, entities, and relevance while maintaining confidentiality and meeting remote productivity and quality requirements.

AI Data Evaluator / Data Quality Analyst at MetaAI

January 1, 2021 - January 1, 2023

Reviewed and evaluated training data for AI and machine learning applications using project-specific rubrics and quality standards. Assessed AI-generated outputs for factual accuracy, relevance, reasoning quality, instruction adherence, and usefulness. Validated datasets for incorrect, incomplete, duplicated, and inconsistent records; categorized data according to predefined taxonomies; compared model responses; and documented evaluation rationales. Conducted factual research, tracked quality issues using spreadsheets and structured data tools, and collaborated asynchronously with remote project teams.

Data Annotation Specialist at GoogleKE

January 1, 2019 - January 1, 2021

Labeled and categorized text, images, audio, and other datasets according to detailed machine learning annotation guidelines. Performed entity labeling, intent classification, sentiment annotation, content categorization, and relevance assessment. Reviewed annotated samples for quality issues, flagged unclear or contradictory examples, maintained notes on difficult decisions, and supported dataset cleaning, organization, validation, and standardization. Completed high-volume assignments while balancing productivity and accuracy and collaborated with distributed teams using remote project-management platforms.