Roberto Cardenas

Key Skills

Software

Remotasks

Scale AI

Other

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Computer Code Programming

Image

Text

Video

Top Label Types

Bounding Box

Classification

Evaluation Rating

Fine Tuning

Prompt Response Writing SFT

RLHF

Text Generation

Freelancer Overview

With over 15 years of experience in software development, I have a strong foundation in building large-scale, data-driven applications and distributed systems. My background includes architecting cloud-native microservices, designing RESTful APIs, and implementing automated data processing pipelines using technologies like Python, Java, AWS, and various databases. I have hands-on experience with machine learning frameworks, having developed a distributed training system for deep learning models that optimized data parallelism and significantly improved training efficiency. My expertise also extends to data annotation and quality assurance through the creation of automated testing frameworks and performance optimization tools. I am passionate about leveraging my technical skills in data engineering, cloud infrastructure, and agile methodologies to contribute to high-quality AI training data and data labeling projects in innovative domains.

Labeling Experience

Video Labelling

OtherVideoBounding BoxEvaluation Rating

Annotated video data for autonomous vehicle applications from October 2023 to December 2024. Created bounding box annotations to identify and track objects including vehicles, pedestrians, and road infrastructure. Maintained consistent labeling accuracy across diverse driving scenarios and environmental conditions to support computer vision model training for self-driving technology.

Annotated video data for autonomous vehicle applications from October 2023 to December 2024. Created bounding box annotations to identify and track objects including vehicles, pedestrians, and road infrastructure. Maintained consistent labeling accuracy across diverse driving scenarios and environmental conditions to support computer vision model training for self-driving technology.

2023 - 2024

RHLF

Scale AITextRLHFEvaluation Rating

Performed RLHF data labeling tasks for corporate text data using Remotasks from August 2018 to November 2022. Conducted evaluation and rating of AI-generated responses, and created prompt-response pairs for supervised fine-tuning. Maintained high annotation quality standards across large-scale datasets while ensuring consistency and accuracy in human feedback for AI model improvement.

Performed RLHF data labeling tasks for corporate text data using Remotasks from August 2018 to November 2022. Conducted evaluation and rating of AI-generated responses, and created prompt-response pairs for supervised fine-tuning. Maintained high annotation quality standards across large-scale datasets while ensuring consistency and accuracy in human feedback for AI model improvement.

2018 - 2022

Education

Work History