Juan Eastmond

Key Skills

Software

AWS SageMaker

Appen

CVAT

Doccano

Encord

Label Studio

Prodigy

V7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Audio Recording

Object Detection

Point Key Point

Question Answering

Segmentation

Freelancer Overview

I have hands-on experience in data labeling and AI training data workflows, contributing to the development of machine learning models across various domains such as computer vision and natural language processing. My work includes annotating images, video, and text with precision, using tools like Label Studio, CVAT, and Doccano. I specialize in tasks such as object detection, semantic segmentation, named entity recognition (NER), sentiment analysis, and classification. What sets me apart is my strong attention to detail, ability to follow complex annotation guidelines, and consistency in high-quality output. I’ve worked on projects involving autonomous driving datasets, eCommerce product classification, and multilingual text annotation for NLP models. My familiarity with data QA processes and version control tools also allows me to collaborate effectively with ML engineers and project managers.

Labeling Experience

AiAlly

Label StudioImageBounding BoxClassification

Labeled and classified images of vehicles to support machine learning models used in autonomous driving systems. Tasks included identifying vehicle types, annotating key features, and ensuring high-quality data for model training and validation.

Labeled and classified images of vehicles to support machine learning models used in autonomous driving systems. Tasks included identifying vehicle types, annotating key features, and ensuring high-quality data for model training and validation.

2024 - 2025

AiAlly

CVATVideoClassificationObject Detection

Annotated and classified vehicle videos to support the development of autonomous driving systems. Accurately labeled various types of vehicles, their behaviors, and movements within video frames to enhance machine learning model training for self-driving car perception and decision-making.

Annotated and classified vehicle videos to support the development of autonomous driving systems. Accurately labeled various types of vehicles, their behaviors, and movements within video frames to enhance machine learning model training for self-driving car perception and decision-making.

2024 - 2025

Education

Work History