Priscila Arandia

Key Skills

Software

Appen

Clickworker

Lionbridge

Mercor

OneForma

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Data Collection

Prompt Response Writing SFT

Text Generation

Text Summarization

Translation Localization

Freelancer Overview

As a Data Annotator and AI Training Specialist with a background in Linguistics and Anthropology, I specialize in refining how artificial intelligence understands and uses human language. My work focuses on text classification, data quality evaluation, and labeling tasks essential for training and fine-tuning Large Language Models (LLMs). I have hands-on experience evaluating AI-generated responses for accuracy, relevance, and adherence to guidelines, ensuring high-quality datasets that drive model performance. What sets me apart is my unique ability to analyze language beyond syntax—identifying cultural nuance, contextual meaning, and subtle biases that models often overlook. With a typing speed of 90 WPM and a 98% accuracy rate, I combine efficiency with deep analytical insight. Whether classifying intents, improving training data in Spanish and English, or ensuring labeled data reflects real-world use cases, I bridge the gap between technical AI requirements and human communication complexity.

Labeling Experience

Data Annotator & Transcriber | OneForma

OneformaTextTranslation LocalizationData Collection

Successfully completed 6+ specialized certifications in data annotation, transcription, and AI training projects. Apply rigorous quality standards to annotate and label data for machine learning models. Transcribe audio content in Spanish following specific client guidelines and formats.

Successfully completed 6+ specialized certifications in data annotation, transcription, and AI training projects. Apply rigorous quality standards to annotate and label data for machine learning models. Transcribe audio content in Spanish following specific client guidelines and formats.

2025

Complex Audio Transcription & Annotation

TelusAudioText GenerationData Collection

anscribing complex audio files (e.g., legal proceedings) into Clean Verbatim format. This includes speaker identification and tagging of relevant sound events, creating clean, structured text from raw audio.

anscribing complex audio files (e.g., legal proceedings) into Clean Verbatim format. This includes speaker identification and tagging of relevant sound events, creating clean, structured text from raw audio.

2025

Linguistic Quality Evaluation & Data Annotation for Large Language Model (LLM)

MercorTextText SummarizationData Collection

In this specialized AI training project, I performed high-stakes data annotation and quality evaluation for a leading LLM. My primary role involved analyzing and comparing AI-generated text responses to assess their accuracy, coherence, and adherence to complex guidelines. Leveraging my background in linguistics and anthropology, I went beyond surface-level labeling to identify subtle errors in tone, cultural context, and logical consistency. This required a deep understanding of nuance and intent, ensuring the model was trained on data that reflected authentic, high-quality human communication.

In this specialized AI training project, I performed high-stakes data annotation and quality evaluation for a leading LLM. My primary role involved analyzing and comparing AI-generated text responses to assess their accuracy, coherence, and adherence to complex guidelines. Leveraging my background in linguistics and anthropology, I went beyond surface-level labeling to identify subtle errors in tone, cultural context, and logical consistency. This required a deep understanding of nuance and intent, ensuring the model was trained on data that reflected authentic, high-quality human communication.

2025

Entity Annotation for Language Models (UHRS)

ClickworkerTextData Collection

Executed a high-volume of text annotation tasks on the UHRS platform to train and refine Natural Language Processing (NLP) models. Specialized in intent classification and search result relevance judgment, determining user goal and the usefulness of information.

Executed a high-volume of text annotation tasks on the UHRS platform to train and refine Natural Language Processing (NLP) models. Specialized in intent classification and search result relevance judgment, determining user goal and the usefulness of information.

2025 - 2025

Education

Work History