Brian B.

Key Skills

Software

Scale AI

Appen

CVAT

Labelbox

Top Subject Matter

Video Captioning

Multimodal AI Evaluation

Image and Video Data Annotation

Top Data Types

Video

Image

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Trainer / Annotator. Core strengths include Scale AI, Appen, and CVAT. Education includes Doctor of Philosophy, Arizona State University (2023). AI-training focus includes data types such as Video, Image, and Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI Data Trainer / Annotator

Scale AIVideoClassification

As an AI Data Trainer and Annotator at Scale AI, I optimized AI-generated video captions and scene descriptions for accuracy and compliance. I focused on enhancing video annotation quality, aligning metadata, and contributing to RLHF workflows. My work directly improved model accuracy, accessibility, and the coherence of AI-generated scenes. • Annotated video datasets with detailed metadata including subject, action, setting, and emotion. • Evaluated and provided structured feedback on video captions and scene flow. • Ensured all outputs met accessibility standards (SDH/ADA). • Contributed to RLHF processes for improved AI response relevance.

2021 - Present

AI Content Evaluation Project

LabelboxTextEntity (NER) Classification

In the AI Content Evaluation Project, I reviewed and ranked AI-generated text outputs for quality and relevance. I used prompt engineering techniques to improve model performance and output alignment with user intent. My ratings and feedback helped guide model fine-tuning and output optimization. • Analyzed natural language generation outputs for accuracy and context. • Implemented prompt engineering to boost result quality. • Provided structured, actionable feedback for model optimization. • Supported iterative improvements in AI conversational pipelines.

2021 - 2023

AI Annotation Specialist / Data Labeler

AppenImageClassification

During my role as an AI Annotation Specialist at Crowdgen AI, I was responsible for labeling and validating large-scale text, image, and video datasets. I conducted quality assurance, streamlined workflows, and supported end-to-end pipeline development. My efforts ensured high accuracy and efficiency in training data for AI projects. • Labeled image and video datasets for various AI model applications. • Performed quality checks to maintain high consistency and accuracy. • Helped prepare and validate datasets for AI training pipelines. • Collaborated closely with distributed teams to deliver outstanding data quality.

2019 - 2020

Video Captioning & Scene Analysis Project

CVATVideoClassification

I created accurate captions and scene breakdowns for video datasets as part of a dedicated Video Captioning & Scene Analysis Project. Using multimodal analysis, I aligned visual content with text for AI model improvements. My interventions improved the outputs of AI systems through structured feedback and corrections. • Developed precise scene and caption annotations for video data. • Applied multimodal techniques for better visual-text connections. • Enhanced AI system output with targeted suggestions and fixes. • Drove data quality for training and evaluation phases.

Not specified

Education

Work History