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Edwin Heredia

Edwin Heredia

Text Data Labeler & AI Quality Reviewer – Spanish

Bolivia flagCochabamba, Bolivia
$14.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
Medical DicomMedical Dicom
TextText

Top Task Types

Classification
Entity Ner Classification
Evaluation Rating
Text Summarization
Translation Localization

Freelancer Overview

Profile Overview (EN) I have hands-on experience supporting AI training initiatives through text annotation, classification, evaluation, and structured data validation in healthcare and software-related datasets. My background includes working with clinical information systems, patient records, technical documentation, and multilingual datasets, where accuracy, consistency, and domain understanding are critical. I specialize in reviewing and classifying Spanish-language technical and medical content, validating structured and unstructured text, identifying inconsistencies, and ensuring data quality for downstream AI and NLP systems. With a strong foundation in software engineering, I am comfortable working with internal or proprietary tools, APIs, and data schemas, and I bring a domain-expert perspective to AI training and model evaluation tasks.

IntermediateKoreanEnglishSpanish

Labeling Experience

Healthcare Text Classification for AI Training

Internal Proprietary ToolingTextEntity Ner ClassificationClassification
Annotated and classified Spanish-language healthcare text datasets for AI and NLP model training. Tasks included assigning predefined labels to medical and patient-related text, identifying named entities (such as symptoms, conditions, and administrative terms), and reviewing annotations for consistency and accuracy. Followed detailed labeling guidelines, performed quality checks, flagged ambiguous samples, and contributed to high-quality supervised learning datasets used for text classification and language model evaluation.

Annotated and classified Spanish-language healthcare text datasets for AI and NLP model training. Tasks included assigning predefined labels to medical and patient-related text, identifying named entities (such as symptoms, conditions, and administrative terms), and reviewing annotations for consistency and accuracy. Followed detailed labeling guidelines, performed quality checks, flagged ambiguous samples, and contributed to high-quality supervised learning datasets used for text classification and language model evaluation.

2023 - 2023

Education

U

Universidad Privada del Valle

Bachelor of Computer Systems Engineering, Computer Systems Engineering

Bachelor of Computer Systems Engineering
2022 - 2025

Work History

J

Jeonja Technology

CEO and Founder

Cochabamba
2025 - Present
F

Fluencesoft

Full Stack Developer

Cochabamba
2024 - 2025