Looking for a job

Victor Kibuchi

@victorkibuchi

Message

Data Annotation Specialist at Edstellar evaluating AI responses and improving training data quality.

Kenya

Message

At Edstellar, I annotate and review text and other digital content for machine learning and AI training workflows. I evaluate AI-generated responses for accuracy, relevance, clarity, safety, and adherence to instructions.

At MetaAI, I reviewed AI training data, assessed model outputs, and validated records against project rubrics. I also researched factual claims and documented evaluation decisions using structured scoring and written rationales.

At GoogleKE, I labeled text, images, and audio, and supported dataset preparation through cleaning, organization, and validation. Across these roles, I’ve handled edge cases, checked annotation quality, and worked remotely with detailed project guidelines.

Experience

Work history, roles, and key accomplishments

Current

Data Annotation & AI Training Specialist

Current

Edstellar

Jan 2023 - Present (3 years 9 months)

Annotate, classify, and review large volumes of text and digital content for machine learning and AI training workflows. Evaluate AI-generated responses for accuracy, relevance, and adherence to instructions, and perform quality-control reviews of annotated datasets.

Data Annotation AI Training Text Classification Quality Assurance Data Validation JSON Google Sheets Remote Collaboration

AI Data Evaluator / Data Quality Analyst

MetaAI

Jan 2021 - Dec 2023 (2 years 11 months)

Reviewed and evaluated training data for AI and machine learning applications, assessing AI-generated outputs for factual accuracy, relevance, and instruction adherence. Performed data validation and quality checks, categorized datasets, and documented evaluation decisions.

AI Evaluation Data Quality Data Validation Text Classification Research Spreadsheets Remote Collaboration

Data Annotation Specialist

GoogleKE

Jan 2019 - Dec 2021 (2 years 11 months)

Labeled and categorized text, images, audio, and other datasets according to detailed machine-learning annotation guidelines. Performed entity labeling, intent classification, sentiment annotation, and quality reviews to ensure labeling consistency.

Data Annotation Text Classification Image Annotation Audio Annotation Named Entity Recognition Sentiment Analysis Quality Review Remote Collaboration