Key Skills

Software

Appen

Clickworker

Data Annotation Tech

Google Cloud Vertex AI

Lionbridge

OneForma

Remotasks

Toloka

Internal/Proprietary Tooling

Scale AI

Top Subject Matter

AI in training processes

LLM evaluation English and Spanish

Satellite image classification

Top Data Types

Audio

Document

Geospatial Tiled Imagery

Top Task Types

Bounding Box

Classification

RLHF

Translation Localization

Freelancer Overview

I have three years of experience in data labeling and preparing high-quality training data for AI models, focusing on accuracy and relevance across various domains like natural language processing (NLP), computer vision, and conversational AI. I’m skilled in creating clear labeling guidelines, managing annotation workflows, and implementing quality control techniques like consensus scoring and validation checks to ensure consistent results. Over the years, I’ve worked with tools to handle both small and large-scale projects effectively. What sets me apart is my ability to tailor datasets for specific use cases, whether it’s sentiment analysis, object detection, or conversational AI training. I’ve contributed to projects that required curating balanced, unbiased, and domain-specific datasets, always prioritizing quality and ethical considerations. My attention to detail, combined with a collaborative and results-driven approach, ensures the delivery of clean, reliable data that helps AI systems perform at their best.

Labeling Experience

Education

Work History