Luciana Seia

Key Skills

Software

Appen

Clickworker

Diffgram

Label Studio

Remotasks

Scale AI

SuperAnnotate

Supervisely

Toloka

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Entity Ner Classification

Translation Localization

Freelancer Overview

I’m a bilingual (English–Spanish) data annotator from Argentina with experience in text, audio, and translation labeling for AI model training. Over the past few years, I’ve worked on projects involving transcription, subtitling, and content translation, developing strong skills in linguistic accuracy, context interpretation, and quality assurance. I specialize in Named Entity Recognition (NER), text and audio annotation, and English–Spanish translation alignment. I’m highly detail-oriented, follow complex labeling guidelines precisely, and consistently meet accuracy and delivery standards. I’m passionate about contributing to Natural Language Processing (NLP) and machine learning projects that improve how AI understands and interacts with human language.

Labeling Experience

Parallel Text Alignment and QA for Machine Translation Dataset

Label StudioTextTranslation LocalizationEvaluation Rating

Aligned English and Spanish sentence pairs for AI translation model training. Evaluated semantic accuracy, idiomatic expression handling, and tone consistency. Applied context-based corrections to improve dataset quality.

Aligned English and Spanish sentence pairs for AI translation model training. Evaluated semantic accuracy, idiomatic expression handling, and tone consistency. Applied context-based corrections to improve dataset quality.

2023

Linguistic Data Annotation for NLP Model Training

Label StudioTextEntity Ner ClassificationTranslation Localization

Labeled and reviewed bilingual (English–Spanish) text data to train AI language models. Tasks included identifying and tagging named entities (NER), translating short texts, and evaluating AI-generated translations for accuracy and tone. Followed strict annotation guidelines and quality control metrics to ensure consistency across large datasets.

Labeled and reviewed bilingual (English–Spanish) text data to train AI language models. Tasks included identifying and tagging named entities (NER), translating short texts, and evaluating AI-generated translations for accuracy and tone. Followed strict annotation guidelines and quality control metrics to ensure consistency across large datasets.

2024 - 2024

Audio Transcription and Labeling for Speech Recognition Dataset

Scale AIAudioTranslation Localization

Transcribed and aligned English and Spanish audio clips for AI speech-to-text model development. Tagged background noise levels, speaker changes, and audio quality. Ensured time-code synchronization and linguistic accuracy for each transcript segment.

Transcribed and aligned English and Spanish audio clips for AI speech-to-text model development. Tagged background noise levels, speaker changes, and audio quality. Ensured time-code synchronization and linguistic accuracy for each transcript segment.

2023 - 2023

Education

Work History