Dorothy K.

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

Computer Vision (Healthcare, Retail Product, Robotics)

Operations & AI project support (structured documentation)

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Segmentation

Freelancer Overview

AI Data Trainer, Freelance Projects (AIDRAlabs). Brings 13+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Labelbox. Education includes Advanced AI Data Trainer, AIDRAlabs (2026) and Registered Community Health Nurse, Gertrude's Institute of Child Health & Research (2026). AI-training focus includes data types such as Image and labeling workflows including Segmentation, Evaluation, and Rating.

Labeling Experience

AI Data Trainer, Freelance Projects (AIDRAlabs)

CVATImageSegmentation

Freelance AI Data Trainer and computer vision annotation specialist working across healthcare imaging and related retail/robotics datasets. Created and reviewed labeled images using CVAT and Labelbox, including bounding boxes and segmentation masks. Performed quality assurance to detect inconsistencies, edge cases, and taxonomy issues, then applied corrections and label improvements. • Annotated 10,000+ images for recognition, object detection, classification, and segmentation • Produced bounding boxes, polygons, and segmentation masks in CVAT and Labelbox • Conducted QA reviews to identify annotation inconsistencies and edge cases • Applied taxonomy guidelines to improve dataset consistency and achieved 98%+ accuracy

2025 - Present

Administrative & Operations Specialist, Remote

LabelboxImage

Remote operational role supporting AI project documentation and compliance-focused data handling. While not described as hands-on model training, responsibilities were tied to structured operational workflows that supported AI initiatives. This experience complements annotation work through process management and documentation needed for quality-controlled datasets. • Streamlined workflows and managed operational data with 100% compliance • Coordinated cross-functional teams to enhance productivity • Supported AI projects requiring structured documentation • Ensured process consistency for data-handling tasks

2017 - Present

Education

Work History