Joshua Jordan

Key Skills

Software

Labelbox

CVAT

SuperAnnotate

Scale AI

Top Subject Matter

LLM outputs

Nlp Domain Expertise

technical logic systems

Top Data Types

Text

Image

Video

Top Task Types

Segmentation

Bounding Box

Classification

Entity (NER) Classification

RLHF

Text Generation

Evaluation/Rating

Prompt + Response Writing (SFT)

Computer Programming/Coding

Transcription

Freelancer Overview

AI Q/A and Red Teaming Analyst. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and SuperAnnotate. Education includes Bachelor of Science, Michigan State University (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Segmentation.

Labeling Experience

AI Q/A and Red Teaming Analyst

LabelboxText

As an AI Q/A and Red Teaming Analyst, I reviewed and refined outputs from large language models. My work focused on technical prompt accuracy, feedback generation, and error pattern discovery to enhance LLM training. This included structured evaluations, red teaming for model robustness, and jailbreaking tests. • Utilized Labelbox to refine and rate LLM outputs • Produced structured feedback and recurring error analyses • Specialized in evaluation, classification, and complex Q/A annotation • Improved training accuracy and robustness for NLP models

As an AI Q/A and Red Teaming Analyst, I reviewed and refined outputs from large language models. My work focused on technical prompt accuracy, feedback generation, and error pattern discovery to enhance LLM training. This included structured evaluations, red teaming for model robustness, and jailbreaking tests. • Utilized Labelbox to refine and rate LLM outputs • Produced structured feedback and recurring error analyses • Specialized in evaluation, classification, and complex Q/A annotation • Improved training accuracy and robustness for NLP models

2024 - 2025

AI Video/Image Labelist

LabelboxImageSegmentation

As an AI Video/Image Labelist, I curated and labeled high-quality datasets for machine learning model training. The labeling work included tasks in coding, engineering, and 3D Lidar data, using specialized annotation software. Responsibilities involved dataset preparation and reinforcement learning for increased reliability. • Used Labelbox, CVAT, and SuperAnnotate for annotating visual and technical data • Worked on segmentation and dataset construction for engineering tasks • Executed reinforcement learning from human feedback (RLHF) processes • Reduced labeling errors and improved quality through structured workflows

As an AI Video/Image Labelist, I curated and labeled high-quality datasets for machine learning model training. The labeling work included tasks in coding, engineering, and 3D Lidar data, using specialized annotation software. Responsibilities involved dataset preparation and reinforcement learning for increased reliability. • Used Labelbox, CVAT, and SuperAnnotate for annotating visual and technical data • Worked on segmentation and dataset construction for engineering tasks • Executed reinforcement learning from human feedback (RLHF) processes • Reduced labeling errors and improved quality through structured workflows

2023 - 2024

Education

Work History