Sandra Alonso

Key Skills

Software

Appen

Clickworker

OneForma

Remotasks

Scale AI

Top Subject Matter

"AI response evaluation, NLP prompt design, and data labeling for multilingual systems"

"Audio recording and command design for AI systems, specializing in multilingual voice training"

"Image evaluation and annotation specialist for AI, with expertise in quality control and dataset accuracy"

Top Data Types

Audio

Image

Text

Top Task Types

Audio Recording

Classification

Data Collection

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I have extensive experience in data labeling and AI training across various domains, specializing in text, audio, and image evaluation. My work includes evaluating AI-generated responses for quality, creating and refining prompts for natural language processing (NLP) models, and ensuring dataset accuracy through rigorous image annotation. With a strong focus on multilingual projects, I bring expertise in maintaining coherence, factuality, and adherence to project instructions, which has been crucial in improving model precision and user engagement. Additionally, I’ve worked on voice training projects, where I recorded audio commands and designed specific instructions for voice-activated AI systems. My skill set is marked by attention to detail, adaptability to different AI use cases, and a commitment to delivering high-quality training data tailored to diverse industries.

Labeling Experience

Image Annotation Specialist for Object Detection in AI Models

AppenImageSegmentationClassification

In this project, I focused on image annotation and object detection to enhance the accuracy of AI models in recognizing and classifying various objects. Tasks included precise segmentation and classification of images for product recognition, ensuring detailed annotation to improve model accuracy. This project required consistent quality checks to maintain high standards in data labeling and to refine the AI’s ability to detect and categorize objects.

In this project, I focused on image annotation and object detection to enhance the accuracy of AI models in recognizing and classifying various objects. Tasks included precise segmentation and classification of images for product recognition, ensuring detailed annotation to improve model accuracy. This project required consistent quality checks to maintain high standards in data labeling and to refine the AI’s ability to detect and categorize objects.

2024 - 2024

Audio Command Designer and Recorder for Voice-Activated AI Systems

AppenAudioEmotion RecognitionAudio Recording

In this project, I designed and recorded audio commands to train voice-activated AI systems, focusing on natural and multilingual speech patterns to enhance system response accuracy. Tasks included crafting commands in both Spanish and English, identifying emotional tone, and ensuring clarity for optimal recognition by AI models. The project required meticulous attention to voice modulation and consistency to meet high-quality standards for audio labeling.

In this project, I designed and recorded audio commands to train voice-activated AI systems, focusing on natural and multilingual speech patterns to enhance system response accuracy. Tasks included crafting commands in both Spanish and English, identifying emotional tone, and ensuring clarity for optimal recognition by AI models. The project required meticulous attention to voice modulation and consistency to meet high-quality standards for audio labeling.

2024 - 2024

Text Labeling Specialist for Multilingual NLP Projects

AppenTextClassificationText Generation

In this multilingual NLP project, I worked on entity (NER) classification and emotion recognition in text, applying techniques to improve the accuracy of automated response systems. Tasks included evaluating AI-generated responses to ensure coherence, factuality, and adherence to instructions, as well as crafting custom prompts to enhance user interaction in diverse contexts. This project focused on both Spanish and English, requiring rigorous review to maintain consistency and precision across all labels.

In this multilingual NLP project, I worked on entity (NER) classification and emotion recognition in text, applying techniques to improve the accuracy of automated response systems. Tasks included evaluating AI-generated responses to ensure coherence, factuality, and adherence to instructions, as well as crafting custom prompts to enhance user interaction in diverse contexts. This project focused on both Spanish and English, requiring rigorous review to maintain consistency and precision across all labels.

2024 - 2024

Education

Work History