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Sampson Kiikpoye

@sampsonkiikpoye

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Data Annotation Specialist with 2+ years labeling image, text, and audio datasets to improve high-performing AI models.

Nigeria

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What I'm looking for

I’m looking for a role where I can annotate and validate image/text/audio datasets with strict QA, follow clear annotation guidelines, and collaborate with remote teams to resolve labeling ambiguities and improve dataset quality for AI model performance.

I’m a Data Annotation Specialist with 2+ years of experience labeling and validating datasets to support high-performing machine learning models. I focus on image, text, and audio annotation with a strong attention to detail and accuracy.

In my most recent role (Remote / Freelance, June 2025 – Feb 2026), I annotated 100,000+ data points and maintained 98%+ accuracy by following structured annotation guidelines and rigorous QA processes. I applied bounding boxes, segmentation, and classification for computer vision, and handled NLP annotation including sentiment analysis and entity recognition.

I’ve also worked as a Data Labeling Assistant (Contract, Feb 2024 – June 2025), where I labeled and categorized datasets for NLP and computer vision projects, reviewed and corrected annotation errors, and used annotation tools to process high-volume data efficiently. Through collaboration and quality checks, I consistently help improve dataset consistency and reliability.

Experience

Work history, roles, and key accomplishments

Data Annotation Specialist

Freelance

Jun 2025 - Feb 2026 (8 months)

Annotated 100,000+ data points across image, text, and audio datasets for machine learning, applying bounding boxes, segmentation, and classification. Maintained 98%+ accuracy by following annotation guidelines and running QA/validation, while supporting remote teams with workflow improvements.

Annotating Bounding Boxes Classification Sentiment Analysis Data Quality Assurance Labelbox CVAT Supervisely

Data Labeling Assistant

Contract Role

Feb 2024 - Jun 2025 (1 year 4 months)

Labeled and categorized NLP and computer vision datasets for AI training, ensuring dataset quality through review and correction of annotation errors. Processed high-volume data using annotation tools and documented feedback to refine labeling instructions.

Data Labeling AI Data Annotation Annotation Error Correction Data Validation Annotating Documentation