Ingrid Bernal

Key Skills

Software

Labelbox

Top Subject Matter

Medical Imaging Annotation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Annotator & Quality Assurance Specialist (Radiology Dept.). Brings 18+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox. Education includes Certificate in Quality Assurance Engineering, TripleTen LatAm (2024) and Certificate in Advanced English, Greenwich College (2024). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

Labeling Experience

AI Data Annotator & Quality Assurance Specialist (Radiology Dept.)

LabelboxClassification

I applied annotation guidelines and quality control to AI datasets derived from medical imaging studies. These projects required consistent data validation, strict adherence to protocols, and meticulous review for factual accuracy. My responsibilities included collaborating with multidisciplinary teams to maintain high-quality labeled datasets. • Ensured accuracy and reliability of radiology image annotations for X-ray, CT, MRI, and Mammography modalities. • Used Labelbox, CVAT, and 3D Slicer platforms to label and validate medical images. • Performed rigorous guideline and protocol checks to ensure dataset consistency. • Contributed to the development of training data for AI models in medical imaging.

I applied annotation guidelines and quality control to AI datasets derived from medical imaging studies. These projects required consistent data validation, strict adherence to protocols, and meticulous review for factual accuracy. My responsibilities included collaborating with multidisciplinary teams to maintain high-quality labeled datasets. • Ensured accuracy and reliability of radiology image annotations for X-ray, CT, MRI, and Mammography modalities. • Used Labelbox, CVAT, and 3D Slicer platforms to label and validate medical images. • Performed rigorous guideline and protocol checks to ensure dataset consistency. • Contributed to the development of training data for AI models in medical imaging.

2007 - 2023

Education

Work History