Mary W.

Key Skills

Software

Labelbox

Scale AI

SuperAnnotate

Top Subject Matter

Healthcare-Medical images (X-rays, MRIs, CT scans), Patient records and clinical text

Finance & Fintech- Fraud detection datasets, Document classification (invoices, IDs), Customer support AI

E-commerce & Retail- Product categorization Image tagging, Recommendation systems, Search improvement

Top Data Types

Video

Image

Top Task Types

Segmentation

Classification

Object Detection

Freelancer Overview

I have experience working on AI training and data labeling projects, contributing to the development and improvement of machine learning models through accurate annotation, evaluation, and quality assurance tasks. My work has involved reviewing and labeling text, image, and video data, assessing AI-generated responses for relevance and accuracy, and ensuring compliance with detailed project guidelines. I have participated in projects requiring strong attention to detail, consistency, and the ability to make objective decisions while maintaining high-quality standards. What sets me apart is my combination of analytical thinking, adaptability, and professional experience managing complex tasks with precision. With a background in Business Innovation and Technology Management and extensive professional experience in project-based environments, I am skilled at learning new guidelines quickly, identifying patterns, maintaining data quality, and meeting deadlines. I am comfortable working independently, handling large volumes of data, and contributing to AI systems that require reliable, human-reviewed training data to improve performance and accuracy.

Labeling Experience

AI Training Data Specialist

VideoSegmentation

At Atlas Capture, I worked on large-scale computer vision projects involving video segmentation for AI and machine learning model training. My responsibilities included annotating video frames, outlining and labeling objects accurately, reviewing annotations for consistency, and following detailed project guidelines to ensure high-quality training data. I handled high-volume datasets while meeting productivity targets and adhered to strict quality assurance standards, including self-reviews, precise object boundary labeling, correct class assignments, and timely incorporation of feedback to maintain accuracy and consistency across the dataset.

2025 - Present

Education

Work History