Rafael Furlan

Key Skills

Software

Data Annotation Tech

Remotasks

Scale AI

Internal/Proprietary Tooling

Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

Geospatial Tiled Imagery

Text

Video

Top Task Types

Geocoding

Land Cover Classification

Object Detection

Freelancer Overview

My experience in data labeling and AI training data encompasses diverse projects, demonstrating a strong foundation in both structured and unstructured data annotation. A key project, "Project Athena," involved detailed land and geocode classification. This required meticulous attention to detail, a keen understanding of geographical data, and the ability to accurately categorize and label locations and land features according to specific guidelines. This experience honed my skills in precision, adherence to quality standards, and the critical role of accurate data in machine learning models. Furthermore, I have actively participated in the training of Large Language Models (LLMs), working with a variety of data formats including images, videos, and texts. This multimodal data labeling experience involved tasks such as content analysis, object identification, transcription, and prompt-response evaluation, ensuring the quality and relevance of data used to train advanced AI systems. My ability to adapt to new tools and methodologies, coupled with a comprehensive understanding of how high-quality training data directly impacts model performance, sets me apart. I am adept at contributing to projects that demand both rigorous classification and nuanced interpretation of complex data to build robust AI applications.

Labeling Experience

Education

Work History