Brandon Sterlang

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

RLHF

Evaluation Rating

Freelancer Overview

I am an experienced AI Trainer and Data Specialist skilled in data annotation, labeling, and evaluation for machine learning projects. My background includes hands-on work with text, image, and content annotation, as well as evaluating AI-generated responses for accuracy and quality. I have a strong track record of following complex project guidelines, ensuring high-quality and consistent results, and delivering reliable data for model improvement. My expertise spans reinforcement learning from human feedback (RLHF), data categorization, structured data review, and quality assurance. I am comfortable using a range of AI annotation tools and thrive in remote, task-based environments, always maintaining a high level of attention to detail and compliance with project requirements.

Labeling Experience

AI Data Labeler (Freelance Remote Projects)

LabelboxTextRLHFEvaluation Rating

As an AI Data Labeler, I labeled large volumes of data for natural language processing models using structured annotation workflows. I performed review and grading of AI-generated outputs and consistently provided actionable feedback to improve model accuracy and alignment. Annotation work was conducted with strict adherence to comprehensive guidelines for quality and consistency. • Labeled and categorized NLP data sets for supervised model training. • Graded and reviewed text and model-generated responses systematically. • Provided structured, guideline-based feedback for RLHF tasks. • Maintained high standards of accuracy and quality throughout annotation projects.

As an AI Data Labeler, I labeled large volumes of data for natural language processing models using structured annotation workflows. I performed review and grading of AI-generated outputs and consistently provided actionable feedback to improve model accuracy and alignment. Annotation work was conducted with strict adherence to comprehensive guidelines for quality and consistency. • Labeled and categorized NLP data sets for supervised model training. • Graded and reviewed text and model-generated responses systematically. • Provided structured, guideline-based feedback for RLHF tasks. • Maintained high standards of accuracy and quality throughout annotation projects.

2023

Annotation Quality Reviewer

LabelboxTextEvaluation Rating

In the role of Annotation Quality Reviewer, I conducted secondary reviews of labeled text data, performing rigorous checks for labeling errors and inconsistencies. I maintained strict accuracy standards across multiple annotation projects to ensure high-quality data for downstream AI applications. My work contributed to overall improvements in accuracy rates and project outcomes. • Reviewed annotated data for adherence to guidelines and accuracy. • Identified issues and provided feedback to primary annotators. • Supported project-wide quality assurance efforts. • Ensured consistency across diverse data labeling tasks.

In the role of Annotation Quality Reviewer, I conducted secondary reviews of labeled text data, performing rigorous checks for labeling errors and inconsistencies. I maintained strict accuracy standards across multiple annotation projects to ensure high-quality data for downstream AI applications. My work contributed to overall improvements in accuracy rates and project outcomes. • Reviewed annotated data for adherence to guidelines and accuracy. • Identified issues and provided feedback to primary annotators. • Supported project-wide quality assurance efforts. • Ensured consistency across diverse data labeling tasks.

2022 - 2023

Education

Work History