Brian Weis

Key Skills

Software

Data Annotation Tech

OneForma

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Point/Key Point

Freelancer Overview

With four years of experience in AI data labeling, including two years at Outlier AI and DataAnnotation.tech, I excel in curating high-quality datasets for machine learning, specializing in computer vision and NLP. At Outlier AI, I annotated 300,000+ data points (images, text, video) with 98% accuracy for tasks like object detection and sentiment analysis, enhancing generative AI models. At DataAnnotation.tech, I labeled 200,000+ data points for chatbot training and image segmentation, boosting task throughput by 18% via streamlined workflows. My AWS Certified Machine Learning – Specialty credential validates my expertise in data preparation and quality assurance. Proficient in tools like Labelbox and Prodigy, I deliver precise datasets in remote settings. Notable projects include labeling 60,000+ images for autonomous vehicle systems (99% accuracy) and 50,000+ text samples for chatbot sentiment analysis (85% model accuracy). My skills in developing guidelines, mentoring teams, and working flexibly, combined with multilingual capabilities (English, conversational Spanish), make me ideal for dynamic platforms like Remotasks.

Labeling Experience

Below is a concise description of key data labeling and AI training projects I have worked on, tailored to showcase hands-on experience and expertise relevant to potential clients.

Scale AIImageBounding BoxObject Detection

Led a remote team of 15 annotators to label 60,000+ images for object detection in self-driving car systems, focusing on identifying vehicles, pedestrians, and traffic signs.

Led a remote team of 15 annotators to label 60,000+ images for object detection in self-driving car systems, focusing on identifying vehicles, pedestrians, and traffic signs.

2023 - 2024

Education

Work History