Justin Ashley

Key Skills

Software

OpenCV AI Kit (OAK)

Google Cloud Vertex AI

Top Subject Matter

Computer Vision

Ocr Domain Expertise

Real-Time Detection

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Text Generation

Transcription

Data Collection

Computer Programming Coding

Function Calling

Segmentation

Classification

Freelancer Overview

I have experience working on AI training and data labeling tasks, including annotating text, evaluating AI-generated responses, and improving model outputs through detailed feedback. My work has involved tasks such as classification, sentiment analysis, and prompt-response evaluation, where accuracy and consistency were critical. I am comfortable following complex guidelines and maintaining high-quality standards across large datasets. What sets me apart is my strong attention to detail, ability to quickly understand project requirements, and solid English comprehension and writing skills. I am also skilled at identifying subtle errors in AI responses and providing clear, actionable corrections. Additionally, I am reliable with deadlines, adaptable to new tools and workflows, and committed to delivering precise, high-quality annotations that contribute to improving AI systems.

Labeling Experience

Independent Freelancer – AI Module Development & Image Data Labeling

Opencv AI Kit OakImageObject Detection

Developed AI-driven modules with computer vision components, including OCR pipelines and object detection systems. Labeled and annotated image datasets using bounding box techniques for pipeline training and optimization. Integrated ML models to improve the accuracy and performance of real-time detection tasks. • Managed image data labeling workflows for object detection and OCR. • Used bounding boxes and annotation rules based on project requirements. • Enhanced accuracy through iterative labeling and model retraining. • Ensured quality control and consistency across labeled datasets.

Developed AI-driven modules with computer vision components, including OCR pipelines and object detection systems. Labeled and annotated image datasets using bounding box techniques for pipeline training and optimization. Integrated ML models to improve the accuracy and performance of real-time detection tasks. • Managed image data labeling workflows for object detection and OCR. • Used bounding boxes and annotation rules based on project requirements. • Enhanced accuracy through iterative labeling and model retraining. • Ensured quality control and consistency across labeled datasets.

2021 - Present

Education

Work History