Anjeanette Bustamante

Key Skills

Software

CVAT

Supervisely

Labelbox

Top Subject Matter

Computer Vision / Object Detection

Natural Language Processing

Computer Vision / Quality Assurance

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Segmentation

Freelancer Overview

Data Annotator / AI Trainer. Core strengths include CVAT, Supervisely, and Labelbox. Education includes Bachelor of Science, N/A (2019). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box, Classification, and Segmentation.

Labeling Experience

Data Annotator / AI Trainer

LabelboxImageSegmentation

During the Dataset Quality Review Project, I conducted verification and quality assurance for previously annotated images. My responsibilities included identifying and correcting labeling mistakes to maintain high accuracy in training data. I played a key role in ensuring that image datasets met strict quality and consistency requirements. • Reviewed annotated data for errors and inconsistencies • Used a range of data labeling platforms including Labelbox and CVAT • Provided feedback and corrections to other annotators • Ensured compliance with best practices and project guidelines

During the Dataset Quality Review Project, I conducted verification and quality assurance for previously annotated images. My responsibilities included identifying and correcting labeling mistakes to maintain high accuracy in training data. I played a key role in ensuring that image datasets met strict quality and consistency requirements. • Reviewed annotated data for errors and inconsistencies • Used a range of data labeling platforms including Labelbox and CVAT • Provided feedback and corrections to other annotators • Ensured compliance with best practices and project guidelines

2023 - Present

Data Annotator / AI Trainer

SuperviselyTextClassification

In the NLP Text Labeling Project, I classified text datasets for various natural language processing tasks including sentiment analysis, topic, and intent identification. My duties included detailed review and correction of annotated data for use in AI training. I consistently followed comprehensive annotation guidelines to ensure data reliability. • Classified text using named entity recognition and sentiment analysis • Improved dataset accuracy by correcting annotation errors • Employed tools like Supervisely and Amazon SageMaker Ground Truth • Maintained quality standards by performing regular dataset reviews

In the NLP Text Labeling Project, I classified text datasets for various natural language processing tasks including sentiment analysis, topic, and intent identification. My duties included detailed review and correction of annotated data for use in AI training. I consistently followed comprehensive annotation guidelines to ensure data reliability. • Classified text using named entity recognition and sentiment analysis • Improved dataset accuracy by correcting annotation errors • Employed tools like Supervisely and Amazon SageMaker Ground Truth • Maintained quality standards by performing regular dataset reviews

2023 - Present

Data Annotator / AI Trainer

CVATImageBounding Box

As a Data Annotator and AI Trainer at Appen, I labeled images for computer vision projects using bounding box and polygon techniques. I was responsible for preparing high-quality datasets to improve machine learning model performance and followed strict annotation guidelines. I maintained detailed consistency and accuracy across large-scale annotation tasks. • Utilized tools such as CVAT, LabelImg, and Labelbox for image annotation • Labeled objects in images for object detection and semantic segmentation • Ensured all bounding boxes and polygons were precise and error-free • Collaborated with AI teams to review and improve datasets

As a Data Annotator and AI Trainer at Appen, I labeled images for computer vision projects using bounding box and polygon techniques. I was responsible for preparing high-quality datasets to improve machine learning model performance and followed strict annotation guidelines. I maintained detailed consistency and accuracy across large-scale annotation tasks. • Utilized tools such as CVAT, LabelImg, and Labelbox for image annotation • Labeled objects in images for object detection and semantic segmentation • Ensured all bounding boxes and polygons were precise and error-free • Collaborated with AI teams to review and improve datasets

2023 - Present

Education

Work History