Brandon Hight

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Object Detection

Freelancer Overview

With nearly two decades of experience in AI and machine learning, I specialize in building and optimizing large-scale systems that rely on high-quality training data and robust data pipelines. My background includes architecting NLP-driven solutions such as semantic matching and classification systems that process hundreds of thousands of documents annually, ensuring precise data annotation and effective model training. I have extensive hands-on expertise with Python, TensorFlow, PyTorch, and AWS SageMaker, as well as experience developing feature engineering pipelines and automated MLOps workflows to streamline data preparation, labeling, and model retraining. My work spans NLP, recommendation systems, and predictive modeling, and I am passionate about ensuring that the data powering AI models is accurate, well-structured, and efficiently managed for optimal results.

Labeling Experience

Image Annotation and Object Detection for Autonomous Vehicle Dataset

Scale AIImageBounding BoxObject Detection

Worked on large-scale image annotation projects used to train computer vision models for autonomous driving systems. The task involved accurately labeling objects such as vehicles, pedestrians, traffic lights, bicycles, and road signs using bounding boxes. Followed strict annotation guidelines to ensure high-quality datasets for machine learning training. Maintained consistency and precision while labeling thousands of images. Participated in quality assurance processes including review tasks and error correction to improve dataset accuracy.

Worked on large-scale image annotation projects used to train computer vision models for autonomous driving systems. The task involved accurately labeling objects such as vehicles, pedestrians, traffic lights, bicycles, and road signs using bounding boxes. Followed strict annotation guidelines to ensure high-quality datasets for machine learning training. Maintained consistency and precision while labeling thousands of images. Participated in quality assurance processes including review tasks and error correction to improve dataset accuracy.

2023

Education

Work History