Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Text

Top Task Types

Text Generation

Freelancer Overview

I am a skilled AI Data Labeling and Training Specialist with hands-on experience supporting machine learning initiatives through high-quality data annotation, validation, and quality assurance. I’ve worked across various data types—text, image, and audio—using tools like Labelbox, CVAT, and Amazon SageMaker Ground Truth to contribute to NLP, computer vision, and voice recognition projects. My attention to detail, ability to follow complex guidelines, and commitment to data integrity ensure that models are trained on accurate, consistent datasets. What sets me apart is my adaptability across industries and my collaborative approach with engineers and researchers to continuously improve labeling processes. I bring strong communication skills, a deep understanding of AI workflows, and a proven track record of meeting tight deadlines without compromising quality. I am passionate about shaping intelligent systems that make real-world impacts.

Labeling Experience

Multi-Modal Data Annotation for NLP and Computer Vision AI Systems

Scale AITextText Generation

Worked on a high-impact healthcare AI project involving the annotation of multi-modal datasets, including medical texts and diagnostic images. For text data, I performed Named Entity Recognition (NER), emotion classification, diagnosis tagging, and summarization of clinical notes. On the computer vision side, I annotated X-ray and CT scan images using bounding boxes and polygon segmentation to support anomaly detection algorithms. Leveraged Scale AI’s platform to ensure accuracy, consistency, and compliance with strict medical data standards. Collaborated with clinical consultants and QA teams to refine labeling guidelines and maintain a high-quality gold-standard dataset used for model fine-tuning and evaluation.

Worked on a high-impact healthcare AI project involving the annotation of multi-modal datasets, including medical texts and diagnostic images. For text data, I performed Named Entity Recognition (NER), emotion classification, diagnosis tagging, and summarization of clinical notes. On the computer vision side, I annotated X-ray and CT scan images using bounding boxes and polygon segmentation to support anomaly detection algorithms. Leveraged Scale AI’s platform to ensure accuracy, consistency, and compliance with strict medical data standards. Collaborated with clinical consultants and QA teams to refine labeling guidelines and maintain a high-quality gold-standard dataset used for model fine-tuning and evaluation.

2023 - 2024

Education

Work History