Christopher Williams

Key Skills

Software

Scale AI

Labelbox

CVAT

Supervisely

V7 Labs

Encord

Dataloop

AWS SageMaker

Other

Top Subject Matter

Autonomous Vehicles

Medical Imaging

Content Moderation

Top Data Types

Image

Top Task Types

Bounding Box

Segmentation

Freelancer Overview

Senior AI Data Annotation Specialist | AI Trainer. Core strengths include Scale AI, Labelbox, and CVAT. AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Senior AI Data Annotation Specialist

ImageSegmentation

As a Senior AI Data Annotation Specialist at Microsoft, I led the annotation and validation of large-scale AI datasets. My work involved the application of quality assurance measures and consensus scoring in both NLP and computer vision projects. I also contributed to workflow improvements, significantly increasing dataset processing output. • Oversaw annotation projects applying bounding boxes, polygons, and segmentation. • Utilized Python and SQL to automate dataset validation and reporting. • Provided mentorship and training to junior annotators. • Supported both NLP and image-based computer vision annotation initiatives.

As a Senior AI Data Annotation Specialist at Microsoft, I led the annotation and validation of large-scale AI datasets. My work involved the application of quality assurance measures and consensus scoring in both NLP and computer vision projects. I also contributed to workflow improvements, significantly increasing dataset processing output. • Oversaw annotation projects applying bounding boxes, polygons, and segmentation. • Utilized Python and SQL to automate dataset validation and reporting. • Provided mentorship and training to junior annotators. • Supported both NLP and image-based computer vision annotation initiatives.

2022 - Present

AI / Machine Learning Data Specialist

Aws SagemakerImageBounding Box

As an AI / Machine Learning Data Specialist at Amazon Web Services (AWS), I annotated image and text datasets for machine learning training. I deployed AWS SageMaker Ground Truth and Labelbox platforms to improve dataset accuracy and ensure consistent labeling. My efforts supported both computer vision and NLP AI projects within AWS. • Increased the dataset accuracy rate from 89% to 96%. • Implemented anomaly detection and validation scripts in Python and SQL. • Built custom JavaScript tools to increase annotation speed. • Focused on large-scale datasets for classification and object detection tasks.

As an AI / Machine Learning Data Specialist at Amazon Web Services (AWS), I annotated image and text datasets for machine learning training. I deployed AWS SageMaker Ground Truth and Labelbox platforms to improve dataset accuracy and ensure consistent labeling. My efforts supported both computer vision and NLP AI projects within AWS. • Increased the dataset accuracy rate from 89% to 96%. • Implemented anomaly detection and validation scripts in Python and SQL. • Built custom JavaScript tools to increase annotation speed. • Focused on large-scale datasets for classification and object detection tasks.

2019 - 2022

Data Annotation Associate

Scale AIImageBounding Box

As a Data Annotation Associate at Scale AI, I was responsible for the precise annotation of extensive image and text datasets. My focus was on maintaining a high standard of accuracy and building Python tools for efficient dataset formatting. I also contributed to the onboarding and training of new annotators to ramp up project capacity. • Maintained above 98% accuracy on over 50,000 annotations. • Prioritized data labeling quality assurance and review. • Automated dataset formatting for YOLO and COCO standards. • Participated in both image and text classification labeling workflows.

As a Data Annotation Associate at Scale AI, I was responsible for the precise annotation of extensive image and text datasets. My focus was on maintaining a high standard of accuracy and building Python tools for efficient dataset formatting. I also contributed to the onboarding and training of new annotators to ramp up project capacity. • Maintained above 98% accuracy on over 50,000 annotations. • Prioritized data labeling quality assurance and review. • Automated dataset formatting for YOLO and COCO standards. • Participated in both image and text classification labeling workflows.

2016 - 2019

Education

Work History