Esperanza Roberto

Key Skills

Software

Appen

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Top Label Types

Bounding Box

Polygon

Segmentation

Object Detection

Freelancer Overview

I have hands-on experience as an AI data annotator and response evaluator, where I worked with large datasets to ensure high accuracy and consistency for AI training projects. My technical background as an automotive engineer has given me a strong foundation in Python scripting for data analysis, validation, and automation, which I have applied to streamline data processing and annotation tasks. I am skilled in using tools like NumPy, Pandas, and Jupyter Notebooks, and I have a proven track record of collaborating remotely to deliver quality results on time. My attention to detail, strong written English skills, and experience with technical documentation enable me to produce high-quality labeled data and clear project reports, making me well-suited for data labeling and AI training data roles.

Labeling Experience

Object Detection & Image Annotation for Computer Vision Models

CVATImageBounding BoxPolygon

Annotated street and urban environment images by labeling vehicles, pedestrians, traffic signs, and road features using bounding boxes and polygon segmentation. Delivered over 50,000 labeled objects ensuring precision and consistency. Followed strict annotation guidelines and performed cross-check reviews to ensure dataset reliability for model training.

Annotated street and urban environment images by labeling vehicles, pedestrians, traffic signs, and road features using bounding boxes and polygon segmentation. Delivered over 50,000 labeled objects ensuring precision and consistency. Followed strict annotation guidelines and performed cross-check reviews to ensure dataset reliability for model training.

2021 - 2025

Education

Work History