Key Skills

Software

Appen

Axiom AI

CrowdSource

Data Annotation Tech

Doccano

OneForma

Redbrick AI

Sama

Telus

Top Subject Matter

AI Data Labeling & Annotation, LLM Evaluation and Text Analysis, Transcription & Language Processing

LLM Evaluation in Spanish

Data Collection & Research, Language Processing & Transcription, Content Creation & Text Analysis

Top Data Types

Document

Image

Text

Top Task Types

Bounding Box

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

I am an experienced AI Data Labeling Specialist with a strong background in annotating complex datasets for various AI models. I have expertise in action recognition, audio recording, bounding box annotation, and classification, using industry-standard tools such as AWS SageMaker, Appen, Argilla, and Google Cloud Vertex AI. My skill set includes data collection, annotation, and large language model (LLM) evaluation, which I have applied to projects involving text, audio, and image data. In addition to my technical capabilities, I bring a nuanced understanding of linguistic diversity, which allows me to excel in multi-language transcription and language processing tasks. I have worked on projects that require high levels of precision and detail, ensuring data quality and accuracy for AI training. My adaptability and commitment to continuous learning have enabled me to successfully manage complex datasets and contribute to the development of robust AI systems.

Labeling Experience

OCR Annotation for Spanish Text Recognition and Bounding Box Clipping

AppenImageBounding BoxPolygon

This project focused on annotating and classifying Spanish text extracted from various document images to enhance the performance of OCR models. My role involved drawing precise bounding boxes around Spanish text, clipping regions of interest, and classifying text into relevant categories. The project covered over 15,000 document images, requiring proficiency in Spanish and meticulous attention to detail to ensure accurate text recognition and clipping. I collaborated with a team to refine annotation guidelines and implemented quality assurance measures to maintain high annotation accuracy throughout the project.

This project focused on annotating and classifying Spanish text extracted from various document images to enhance the performance of OCR models. My role involved drawing precise bounding boxes around Spanish text, clipping regions of interest, and classifying text into relevant categories. The project covered over 15,000 document images, requiring proficiency in Spanish and meticulous attention to detail to ensure accurate text recognition and clipping. I collaborated with a team to refine annotation guidelines and implemented quality assurance measures to maintain high annotation accuracy throughout the project.

2024 - 2024

Education

Work History