David Cuellar

Key Skills

Software

Scale AI

Remotasks

Top Subject Matter

Categorization and Road spray for Autonomous Vehicles

LLM Evaluation in Spanish

Food Labeling

Top Data Types

Image

Video

Top Task Types

Bounding Box

Object Detection

Prompt Response Writing SFT

Freelancer Overview

As a data labeler, I have utilized prompt engineering techniques in Spanish to optimize large language models for improved responses. I have also demonstrated experience in web scraping, using CSS selectors to extract product data from e-commerce platforms on Shopify, exceeding metrics by scraping data from over eight sites daily, each with more than 1000 products. Additionally, I have achieved high accuracy in labeling road spray instances across 20-40 videos per day, significantly enhancing the reliability and performance of AI models for autonomous vehicles. My key skills and qualifications include: -Prompt engineering in Spanish for optimizing large language models -Web scraping using CSS selectors on Shopify e-commerce platforms -High accuracy in labeling road spray instances for autonomous vehicles -Ability to work with large datasets and exceed metrics -Strong attention to detail and ability to work efficiently to meet deadlines

Labeling Experience

Quality Assurance Tasker

Scale AIImageBounding BoxPoint Key Point

• Trained large language models (LLMs) for optimized responses in Spanish • Labeled road spray instances in videos for autonomous vehicle applications Specific Data Labeling Tasks Performed: • Prompt engineering: Utilized techniques to compare, analyze, and improve LLMs for optimized responses in Spanish • Web scraping: Extracted product data from e-commerce platforms on Shopify using CSS selectors • Video labeling: Labeled road spray instances in 20-40 videos per day Project Size: • Worked with large datasets: + Over 8,000 products from e-commerce platforms on Shopify + 20-40 videos per day for labeling road spray instances Quality Measures Adhered To: • Accuracy: Achieved an accuracy of 83.2% in labeling road spray instances • Efficiency: Exceeded metrics by scraping data from over eight sites daily, each with more than 1000 products • Quality control: Ensured high-quality data labeling through attention to detail and thorough review of labeled data

• Trained large language models (LLMs) for optimized responses in Spanish • Labeled road spray instances in videos for autonomous vehicle applications Specific Data Labeling Tasks Performed: • Prompt engineering: Utilized techniques to compare, analyze, and improve LLMs for optimized responses in Spanish • Web scraping: Extracted product data from e-commerce platforms on Shopify using CSS selectors • Video labeling: Labeled road spray instances in 20-40 videos per day Project Size: • Worked with large datasets: + Over 8,000 products from e-commerce platforms on Shopify + 20-40 videos per day for labeling road spray instances Quality Measures Adhered To: • Accuracy: Achieved an accuracy of 83.2% in labeling road spray instances • Efficiency: Exceeded metrics by scraping data from over eight sites daily, each with more than 1000 products • Quality control: Ensured high-quality data labeling through attention to detail and thorough review of labeled data

2023

Education

Work History