Chase J.

Key Skills

Software

SuperAnnotate

Roboflow

CloudFactory

Top Subject Matter

Autonomous vehicle and healthcare imaging video annotation (temporal tracking).

Retail Domain Expertise

Agriculture Domain Expertise

Top Data Types

Video

Image

Text

Document

Top Task Types

Tracking

Segmentation

Object Detection

Freelancer Overview

Senior Data Annotation Specialist at Alegion Inc. (video temporal tracking and QA).. Core strengths include SuperAnnotate, Roboflow, and CloudFactory. Education includes Bachelor of Science, University of Texas at Dallas (2021). AI-training focus includes data types such as Video, Image, and Geospatial and labeling workflows including Tracking, Segmentation, and Object Detection.

Labeling Experience

Senior Data Annotation Specialist at Alegion Inc. (video temporal tracking and QA).

SuperAnnotateVideoTracking

Produced frame-by-frame temporal object tracking annotations for video datasets used in production ML training. Ensured inter-annotator agreement and consistent object persistence across multi-person projects. Applied QA review processes to maintain annotation integrity and accuracy for downstream model performance. • Labeled 200+ video clips weekly using SuperAnnotate and Roboflow. • Maintained accuracy exceeding 98.5% based on internal QA audits. • Managed inter-annotator agreement for consistent tracking across frames. • Refined guidelines based on ML engineer feedback to reduce ambiguity by 30%.

2025 - Present

Image Annotation Specialist at Samasource (Sama) focusing on polygon/mask segmentation and dataset workflow.

RoboflowImageSegmentation

Created precise polygon and mask annotations for complex image scenes with overlapping objects, occlusions, and variable lighting. Performed multi-class labeling and dataset preparation activities to support YOLO and RCNN training pipelines. Contributed to calibration efforts that improved labeling consistency across the annotation team. • Averaged 900 images/day for retail, agriculture, and security surveillance datasets. • Used Roboflow for versioning, preprocessing, and multi-class labeling workflows. • Produced polygon and mask labels for complex visual conditions. • Helped reduce inter-annotator disagreement scores by 15%.

2022 - 2024

Data Labeling Analyst (Contract) at CloudFactory (geospatial object detection and high-accuracy labeling).

CloudFactoryObject Detection

Applied object detection labeling to aerial and satellite imagery for geospatial analysis use cases. Produced image classification and bounding box annotations under strict, client-defined annotation schemas. Maintained consistently high labeling quality across multiple client accounts during the contract period. • Performed image classification plus bounding box annotation for CV and NLP projects. • Annotated aerial/satellite imagery for geospatial object detection. • Maintained 97%+ accuracy throughout the contract engagement. • Ranked in the top 10% of analysts by accuracy and throughput.

2022 - 2022

Education