Blanca Martinez

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Top Label Types

Bounding Box

Segmentation

Cuboid

Data Collection

Freelancer Overview

I am a meticulous specialist in AI data labeling and training data, possessing practical experience in supporting machine learning initiatives across computer vision, natural language processing, and speech fields. I have extensively engaged with large volumes of image, video, text, and audio datasets, contributing to projects such as object detection, facial recognition, sentiment analysis, and training speech-to-text models. I am skilled in using industry-standard tools like Labelbox, CVAT, Prodigy, and Amazon Mechanical Turk, consistently providing high-quality annotations while adhering to tight deadlines. I possess robust quality assurance abilities, frequently performing data validation and error checks to guarantee precise and dependable training data. I collaborate effectively in team settings, working alongside data scientists and engineers to optimize labeling guidelines, boost annotation consistency, and elevate overall model performance. My emphasis on accuracy, efficiency, and ongoing enhancement enables me to contribute tangible value to AI training processes.

Labeling Experience

Data Ladar Labelling Annotation

CVAT3D SensorBounding BoxSegmentation

Worked on a large-scale project on the Remotasks platform using CVAT. The project involved annotating point cloud data with precise 3D bounding boxes and object classification for autonomous driving use cases, including vehicles, pedestrians and road infrastructure. Followed strict annotation guidelines, performed quality checks, and maintained high accuracy standards through review feedback and consistency validations.

Worked on a large-scale project on the Remotasks platform using CVAT. The project involved annotating point cloud data with precise 3D bounding boxes and object classification for autonomous driving use cases, including vehicles, pedestrians and road infrastructure. Followed strict annotation guidelines, performed quality checks, and maintained high accuracy standards through review feedback and consistency validations.

2023

Education

Work History