Key Skills

Software

Labelbox

Top Subject Matter

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Top Data Types

Image

Top Label Types

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Freelancer Overview

I have 4 years of hands-on experience in AI data annotation, specializing in data labeling, quality assurance, and training workflows across Computer Vision, NLP, and Audio projects. My work has focused on building accurate, bias-free training data for machine learning by leading annotation teams, designing effective onboarding programs, and collaborating closely with ML engineers. I am skilled in bounding boxes, polygon segmentation, semantic labeling, and NER, and have a strong background in developing annotation guidelines, optimizing workflows, and ensuring ethical AI practices. My efforts have directly improved annotation accuracy, team productivity, and the overall quality of AI models.

Labeling Experience

AI Data Annotator / QA Specialist

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Delivered high-volume image classification, object detection, and text tagging annotations for enterprise AI projects. Conducted quality audits and gave feedback, aiding workflow scalability and annotation accuracy. Helped design annotation pipelines and workflows for large-scale machine learning tasks. • Conducted quality assurance and accuracy improvement • Provided regular feedback to annotators • Collaborated on scalable and efficient annotation workflows • Supported enterprise-level AI initiatives

Delivered high-volume image classification, object detection, and text tagging annotations for enterprise AI projects. Conducted quality audits and gave feedback, aiding workflow scalability and annotation accuracy. Helped design annotation pipelines and workflows for large-scale machine learning tasks. • Conducted quality assurance and accuracy improvement • Provided regular feedback to annotators • Collaborated on scalable and efficient annotation workflows • Supported enterprise-level AI initiatives

2023 - 2023

AI Annotation Trainer

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Led and mentored a team of annotators in image and text data labeling for Computer Vision and NLP projects. Introduced structured quality assurance systems, raising annotation accuracy and reducing model bias. Developed onboarding programs, annotation guidelines, and collaborated with ML engineers to refine standards. • Specialized in bounding boxes, polygon segmentation, and semantic labeling • Focused on Named Entity Recognition and sentiment analysis • Implemented workflow optimization and productivity tracking • Emphasized data privacy and ethical practices

Led and mentored a team of annotators in image and text data labeling for Computer Vision and NLP projects. Introduced structured quality assurance systems, raising annotation accuracy and reducing model bias. Developed onboarding programs, annotation guidelines, and collaborated with ML engineers to refine standards. • Specialized in bounding boxes, polygon segmentation, and semantic labeling • Focused on Named Entity Recognition and sentiment analysis • Implemented workflow optimization and productivity tracking • Emphasized data privacy and ethical practices

2022 - 2022

Education

Work History