Fabiana Rodrigues

Key Skills

Software

CloudFactory

CrowdFlower

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Data Collection

Question Answering

Relationship

Text Generation

Translation Localization

Freelancer Overview

I have entry-level experience in AI training and data annotation, developed during my internship at Gráfica Lausannense. There, I supported the training of a virtual assistant designed for the company’s internal workflows, which included text classification, intent tagging, data organization, and quality checking of model outputs. With a background in graphic design and digital communication, I bring strong visual accuracy, attention to detail, and the ability to work with structured and unstructured content. I’m comfortable analyzing images, text, and user interactions, and I approach annotation tasks with a clear focus on consistency, clarity, and reliability. Although I’m at the beginning of my AI training journey, my experience in data labeling, combined with my design sense and QA-oriented mindset, allows me to contribute to high-quality datasets and support model improvement effectively.

Labeling Experience

Video Annotation

CrowdflowerVideoObject DetectionData Collection

I supported the training of an internal virtual assistant by assisting with video annotation tasks. These tasks involved identifying and tagging actions performed in printing and production workflows, recognizing objects and equipment in the workspace, classifying scenes, and detecting relevant events in short instructional or operational clips. My role also included collecting video data and ensuring annotations were consistent, accurate, and aligned with project guidelines. This helped create clearer visual datasets that improved the assistant’s ability to understand the context of printing-related processes and support internal employees more effectively.

I supported the training of an internal virtual assistant by assisting with video annotation tasks. These tasks involved identifying and tagging actions performed in printing and production workflows, recognizing objects and equipment in the workspace, classifying scenes, and detecting relevant events in short instructional or operational clips. My role also included collecting video data and ensuring annotations were consistent, accurate, and aligned with project guidelines. This helped create clearer visual datasets that improved the assistant’s ability to understand the context of printing-related processes and support internal employees more effectively.

2025 - 2025

Document Annotation

CrowdflowerDocumentRelationshipClassification

I supported the digital organization and annotation of internal documents used to train a virtual assistant. The tasks included classifying documents by type, extracting key entities (dates, services, terminology), categorizing content related to printing processes, and reviewing formatting and clarity. My work helped create a structured dataset that improved the assistant’s understanding of operational documents, enabling more accurate responses and smoother navigation of internal procedures.

I supported the digital organization and annotation of internal documents used to train a virtual assistant. The tasks included classifying documents by type, extracting key entities (dates, services, terminology), categorizing content related to printing processes, and reviewing formatting and clarity. My work helped create a structured dataset that improved the assistant’s understanding of operational documents, enabling more accurate responses and smoother navigation of internal procedures.

2025 - 2025

Text Annotation

CrowdflowerTextText GenerationEmotion Recognition

I worked on text annotation tasks to support the development of an internal virtual assistant. My responsibilities included generating and reviewing text samples, summarizing internal documents, identifying customer intent, recognizing emotional tone in client messages, and collecting structured text data for training purposes. I ensured consistency, clarity, and accuracy across all annotated content, helping improve the assistant’s ability to understand user requests and support printing-related workflows.

I worked on text annotation tasks to support the development of an internal virtual assistant. My responsibilities included generating and reviewing text samples, summarizing internal documents, identifying customer intent, recognizing emotional tone in client messages, and collecting structured text data for training purposes. I ensured consistency, clarity, and accuracy across all annotated content, helping improve the assistant’s ability to understand user requests and support printing-related workflows.

2025 - 2025

Image Annotation Project

CrowdflowerImageObject DetectionAction Recognition

I contributed to the development of an internal virtual assistant by performing image-based data labeling and content collection tasks. This included identifying visual elements, tagging objects, recognizing actions in workplace images, and organizing datasets used to train the assistant. I also supported prompt and response creation to help improve the model’s accuracy and understanding of printing-related workflows. All tasks were completed with a strong focus on clarity, consistency, and quality standards to ensure reliable training data for the assistant.

I contributed to the development of an internal virtual assistant by performing image-based data labeling and content collection tasks. This included identifying visual elements, tagging objects, recognizing actions in workplace images, and organizing datasets used to train the assistant. I also supported prompt and response creation to help improve the model’s accuracy and understanding of printing-related workflows. All tasks were completed with a strong focus on clarity, consistency, and quality standards to ensure reliable training data for the assistant.

2025 - 2025

Education

Work History