Hassan Quadri

Key Skills

Software

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Text Generation

Text Summarization

Freelancer Overview

I am a dedicated Data Annotation Specialist with over three years of hands-on experience labeling high-quality datasets for NLP, computer vision, and audio models. My expertise includes image classification, semantic segmentation, bounding boxes, and named entity recognition, using industry-standard tools like Labelbox, CVAT, Prodigy, and Amazon SageMaker Ground Truth. I consistently maintain accuracy rates above 98% while meeting tight deadlines and thrive in collaborative environments, working closely with ML engineers to refine guidelines and identify edge cases. My background spans diverse domains such as legal tech, e-commerce, and medical imaging, and I am fluent in English and Yoruba for text and speech annotation. I am passionate about delivering reliable, high-quality training data that directly enhances the performance of AI systems.

Labeling Experience

Yoruba language specialist - AI trainer

Label StudioTextText GenerationText Summarization

Annotated and linguistically analyzed large-scale Yoruba text datasets for Sentiment Analysis and Intent Classification to enhance chatbot performance and natural language understanding in Yoruba. Provided cultural and linguistic expertise to ensure accurate representation of Yoruba idioms, tone marks, dialectal variations, and contextual meaning. Conducted peer reviews and quality audits on 20% of team outputs to maintain high annotation accuracy and compliance with project guidelines. Improved labeling workflow efficiency by implementing keyboard shortcuts and process optimizations, increasing team productivity by 15%. Collaborated with cross-functional AI teams to refine annotation guidelines specific to Yoruba language structure and morphology.

Annotated and linguistically analyzed large-scale Yoruba text datasets for Sentiment Analysis and Intent Classification to enhance chatbot performance and natural language understanding in Yoruba. Provided cultural and linguistic expertise to ensure accurate representation of Yoruba idioms, tone marks, dialectal variations, and contextual meaning. Conducted peer reviews and quality audits on 20% of team outputs to maintain high annotation accuracy and compliance with project guidelines. Improved labeling workflow efficiency by implementing keyboard shortcuts and process optimizations, increasing team productivity by 15%. Collaborated with cross-functional AI teams to refine annotation guidelines specific to Yoruba language structure and morphology.

2023 - 2023

Education

Work History