Megan Earl

Key Skills

Software

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Label Types

Polygon

Classification

Text Generation

Freelancer Overview

I am a computer science professional with over six years of experience in software development, systems analysis, and technical solution delivery, with a strong foundation in Python, Java, SQL, and modern web technologies. My background includes designing and maintaining scalable backend systems, automating workflows, and implementing secure data handling practices, all of which are essential for high-quality data labeling and AI training data projects. I have collaborated closely with cross-functional teams, improved system performance, and delivered solutions that enhance data reliability and operational efficiency. My experience in developing internal tools, preparing technical documentation, and optimizing data-driven applications equips me to contribute effectively to projects involving data annotation, labeling, and quality control for AI and machine learning applications. I am adaptable, detail-oriented, and committed to delivering accurate, high-quality results in fast-paced environments.

Labeling Experience

Data labeling

OtherImageClassificationText Generation

I performed human-in-the-loop data labeling and model evaluation tasks to improve the quality, safety, and accuracy of AI model outputs. This roles requires strong analytical judgment, precise application of labeling guidelines, and the ability to evaluate and correct model responses across diverse domains with consistency and low error rates.

I performed human-in-the-loop data labeling and model evaluation tasks to improve the quality, safety, and accuracy of AI model outputs. This roles requires strong analytical judgment, precise application of labeling guidelines, and the ability to evaluate and correct model responses across diverse domains with consistency and low error rates.

2025

Image annotation

Scale AIImagePolygonClassification

I worked on a 3D LiDAR image annotation project at Remotasks focused on training perception models for autonomous vehicles by labeling objects in complex driving environments. The work required precise cuboid annotation of vehicles, pedestrians, cyclists, and roadway infrastructure, along with consistent class taxonomy application and spatial alignment across frames. This project demanded strong attention to detail, adherence to strict QA guidelines, and the ability to interpret sensor fusion outputs to produce high accuracy training data.

I worked on a 3D LiDAR image annotation project at Remotasks focused on training perception models for autonomous vehicles by labeling objects in complex driving environments. The work required precise cuboid annotation of vehicles, pedestrians, cyclists, and roadway infrastructure, along with consistent class taxonomy application and spatial alignment across frames. This project demanded strong attention to detail, adherence to strict QA guidelines, and the ability to interpret sensor fusion outputs to produce high accuracy training data.

2023 - 2024

Education

Work History