David Hernandez

Key Skills

Software

CVAT

Top Subject Matter

LLLMs Domain Expertise

Human-AI Interaction

Logic Assessments

Top Data Types

Text

Image

Document

Top Task Types

Bounding Box

Freelancer Overview

AI Data Annotator and Reviewer with professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Computer Science, California Baptist University (2024). AI-training focus includes data types such as Audio, Text, and Image, with labeling workflows including Evaluation, Rating, and Bounding Box.

Labeling Experience

AI Data Annotator and Reviewer

TextEvaluation Rating

As an AI Data Annotator for Verity Lab, I worked on multimodal annotation, quality assurance, and rubric development for LLM and audio evaluation projects. I was promoted to Reviewer, taking responsibility for mentoring, quality-checking, and training development to uphold annotation standards. I applied analytical skills for trend analysis and continuous rubric improvement within the LLM team. • Labeled and evaluated text and audio data for large language model (LLM) and audio model training • Conducted quality analysis and mentored annotation team members • Supported rubric refinement based on trend discoveries • Collaborated with cross-functional teams to maximize data integrity and annotation accuracy

As an AI Data Annotator for Verity Lab, I worked on multimodal annotation, quality assurance, and rubric development for LLM and audio evaluation projects. I was promoted to Reviewer, taking responsibility for mentoring, quality-checking, and training development to uphold annotation standards. I applied analytical skills for trend analysis and continuous rubric improvement within the LLM team. • Labeled and evaluated text and audio data for large language model (LLM) and audio model training • Conducted quality analysis and mentored annotation team members • Supported rubric refinement based on trend discoveries • Collaborated with cross-functional teams to maximize data integrity and annotation accuracy

2025 - 2026

Data Annotator - Computer Vision Senior Project

CVATImageBounding Box

As part of the Rummage senior project, I annotated over 30,000 frames using CVAT to support the training of a YOLOv8 item recognition model. I contributed to the preparation and preprocessing of image data for computer vision tasks in food classification. My work ensured high-quality image data was available for machine learning development. • Used CVAT to create bounding box annotations for object detection • Focused on item and food classification in visual data • Processed and organized labeled images for model training • Ensured labeling accuracy throughout the annotation project

As part of the Rummage senior project, I annotated over 30,000 frames using CVAT to support the training of a YOLOv8 item recognition model. I contributed to the preparation and preprocessing of image data for computer vision tasks in food classification. My work ensured high-quality image data was available for machine learning development. • Used CVAT to create bounding box annotations for object detection • Focused on item and food classification in visual data • Processed and organized labeled images for model training • Ensured labeling accuracy throughout the annotation project

2023 - 2024

Education

Work History