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Reviewed and corrected AI-generated responses for grammar, relevance, and factual accuracy. Provided structured feedback to refine model performance Tested and evaluated AI model outputs, identified edge-case errors, and wrote detailed feedback reports to improve response quality and safety. Annotated and labeled 5,000+ images and text datasets for computer vision and NLP models. Ensured 98% accuracy through quality control reviews…Reviewed and corrected AI-generated responses for grammar, relevance, and factual accuracy. Provided structured feedback to refine model performance Tested and evaluated AI model outputs, identified edge-case errors, and wrote detailed feedback reports to improve response quality and safety. Annotated and labeled 5,000+ images and text datasets for computer vision and NLP models. Ensured 98% accuracy through quality control reviews

Charles Macharia

Data Annotator, AI Engineer, Content Creator, +1

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Reviewed and corrected AI-generated responses for grammar, relevance, and factual accuracy. Provided structured feedback to refine model performance Tested and evaluated AI model outputs, identified edge-case errors, and wrote detailed feedback reports to improve response quality and safety. Annotated and labeled 5,000+ images and text datasets for computer vision and NLP models. Ensured 98% accuracy through quality control reviews…Reviewed and corrected AI-generated responses for grammar, relevance, and factual accuracy. Provided structured feedback to refine model performance Tested and evaluated AI model outputs, identified edge-case errors, and wrote detailed feedback reports to improve response quality and safety. Annotated and labeled 5,000+ images and text datasets for computer vision and NLP models. Ensured 98% accuracy through quality control reviews

Available to hire

Reviewed and corrected AI-generated responses for grammar, relevance, and factual accuracy. Provided structured feedback to refine model performance
Tested and evaluated AI model outputs, identified edge-case errors, and wrote detailed feedback reports to improve response quality and safety.
Annotated and labeled 5,000+ images and text datasets for computer vision and NLP models. Ensured 98% accuracy through quality control reviews

Skills

Experience Level

Expert

Expert

Intermediate

Intermediate

Beginner

Work Experience

AI Data Annotation Specialist at Remote AI Projects

January 1, 2023 - Present

Annotate and review text, image, audio, and multimodal datasets used for training AI and machine learning models. Evaluate Large Language Model outputs for accuracy, relevance, safety, factuality, and instruction-following. Rank AI-generated responses and provide detailed feedback to improve model performance. Perform RLHF tasks including preference ranking and comparative response analysis. Conduct quality assurance audits to ensure compliance with annotation guidelines and project requirements. Identify annotation inconsistencies and recommend process improvements to increase data quality. Collaborate with distributed teams to meet project deadlines and productivity targets.

Data Annotation Analyst at AI Training & Content Review Projects

June 1, 2021 - December 1, 2022

Labelled and validated datasets for classification, sentiment analysis, entity recognition, and intent detection tasks. Annotated computer vision datasets using bounding boxes, segmentation, and object classification techniques. Reviewed user-generated content for policy compliance and content moderation requirements. Participated in calibration exercises to ensure annotation consistency across teams. Maintained detailed documentation and followed evolving project guidelines.