Key Skills

Software

Appen

Data Annotation Tech

Labelbox

Top Subject Matter

Healthcare data labeling for medical imaging

E-commerce product categorization and labeling

Autonomous vehicle sensor data annotation

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Evaluation Rating

Mapping

Prompt Response Writing SFT

RLHF

Translation Localization

Freelancer Overview

An experienced data labeling specialist and AI trainer, I have a proven track record in delivering high-quality annotations for AI and machine learning projects, as well as training AI systems for optimal performance. My expertise spans multiple industries, including healthcare, e-commerce, and autonomous systems, where I’ve contributed to developing robust models through precise, efficient data labeling and model fine-tuning. I have hands-on experience with AI training, coding, and data operations on platforms such as Alignerr, Invisible, Crowdgen, and Coalition Tech. This includes creating structured training datasets, refining AI outputs, and writing scripts to streamline annotation workflows. My proficiency in various labeling tools and programming skills allows me to bridge the gap between data preparation and AI system performance. I have successfully managed large-scale labeling and training projects, consistently meeting deadlines and exceeding quality benchmarks. My ability to adapt to different domains and collaborate effectively with cross-functional teams has been key to my success. By integrating my understanding of industry-specific requirements with my technical and coding expertise, I ensure that the data and training I provide directly support the creation of reliable and impactful AI solutions.

Labeling Experience

Medical Imaging Annotation for AI Training

LabelboxImageSegmentationClassification

I led a project focused on annotating medical images for a healthcare AI company, specializing in the segmentation and classification of MRI and CT scan images. The project involved labeling large datasets to train models for detecting and diagnosing various conditions, such as tumors and organ anomalies. I ensured a high degree of accuracy by adhering to strict quality control protocols, including multiple rounds of peer review and consistency checks. The project spanned over 6 months, during which we labeled over 50,000 images, significantly contributing to the model's performance in clinical settings.

I led a project focused on annotating medical images for a healthcare AI company, specializing in the segmentation and classification of MRI and CT scan images. The project involved labeling large datasets to train models for detecting and diagnosing various conditions, such as tumors and organ anomalies. I ensured a high degree of accuracy by adhering to strict quality control protocols, including multiple rounds of peer review and consistency checks. The project spanned over 6 months, during which we labeled over 50,000 images, significantly contributing to the model's performance in clinical settings.

2023 - 2023

Education

Work History