Justin Richardson

Key Skills

Software

Data Annotation Tech

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Segmentation

Classification

Text Generation

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented data evaluator with hands-on experience in AI content review, data annotation, and quality assurance for natural language processing projects. My background includes reviewing and ranking AI-generated text, identifying factual inaccuracies, and ensuring strict adherence to guidelines and rubrics. I excel at providing clear, structured feedback and documenting decisions to maintain high-quality, consistent results across large volumes of data. With a strong command of English grammar, editing, and transcription standards, I am skilled at fact-checking, error identification, and remote collaboration using tools like Google Workspace, Microsoft Office, and Notion. I thrive in distributed teams and am committed to delivering accurate, high-quality training data to support AI development.

Labeling Experience

Image Annotation for Object Detection & Segmentation

CVATImageBounding BoxPolygon

Annotated large image datasets to train computer vision models for object detection and segmentation tasks. Responsibilities included drawing precise bounding boxes and polygon masks around objects such as vehicles, pedestrians, household items, and retail products. Followed detailed annotation guidelines, handled edge cases like occlusion and low-light images, and maintained high accuracy through internal QA reviews. Consistently met daily labeling targets while ensuring dataset consistency and quality standards.

Annotated large image datasets to train computer vision models for object detection and segmentation tasks. Responsibilities included drawing precise bounding boxes and polygon masks around objects such as vehicles, pedestrians, household items, and retail products. Followed detailed annotation guidelines, handled edge cases like occlusion and low-light images, and maintained high accuracy through internal QA reviews. Consistently met daily labeling targets while ensuring dataset consistency and quality standards.

2024

LLM Response Evaluation & Text Annotation Project

Data Annotation TechTextSegmentationClassification

Annotated and evaluated large volumes of text data to support training and improvement of AI language models. Tasks included classifying text by intent and sentiment, rating AI responses for relevance and safety, identifying policy violations, and flagging ambiguous cases. Followed detailed annotation guidelines, maintained high accuracy thresholds, and participated in quality review processes to ensure consistency across datasets.

Annotated and evaluated large volumes of text data to support training and improvement of AI language models. Tasks included classifying text by intent and sentiment, rating AI responses for relevance and safety, identifying policy violations, and flagging ambiguous cases. Followed detailed annotation guidelines, maintained high accuracy thresholds, and participated in quality review processes to ensure consistency across datasets.

2022 - 2025

Education

Work History