Paula Vivas

Key Skills

Software

Appen

Other

Internal/Proprietary Tooling

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Video

Image

Text

Top Task Types

Translation Localization

Emotion Recognition

Evaluation Rating

Question Answering

Tracking

Prompt Response Writing SFT

Bounding Box

Classification

Object Detection

Freelancer Overview

AI Training and Content Evaluation specialist with experience in audio transcription, multimedia content analysis, image and video labeling, and quality evaluation. Experienced in working with internal web-based annotation tools across multiple platforms, following strict guidelines and quality standards in remote, freelance environments.

Labeling Experience

LLM Response Evaluation and Human Feedback Annotation-Welocalize

Internal Proprietary ToolingTextQuestion AnsweringEmotion Recognition

Project focused on evaluating and annotating AI-generated text responses to improve the quality and human-likeness of large language models. Tasks included rating responses based on relevance, coherence, tone, clarity, and emotional alignment with user intent, as well as ranking multiple outputs and providing structured human feedback (RLHF). Additional work included prompt–response writing (SFT), text classification, emotion recognition, and summarization. Quality measures involved strict adherence to detailed guidelines, consistency checks, and regular quality reviews to ensure high annotation accuracy across large-scale datasets.

Project focused on evaluating and annotating AI-generated text responses to improve the quality and human-likeness of large language models. Tasks included rating responses based on relevance, coherence, tone, clarity, and emotional alignment with user intent, as well as ranking multiple outputs and providing structured human feedback (RLHF). Additional work included prompt–response writing (SFT), text classification, emotion recognition, and summarization. Quality measures involved strict adherence to detailed guidelines, consistency checks, and regular quality reviews to ensure high annotation accuracy across large-scale datasets.

2025

Audio Transcription Project

AppenAudioTranslation Localization

Performed audio-to-text transcription in Spanish with emphasis on quality assessment and translation feasibility analysis. Reviewed linguistic accuracy and ensured high content quality through detailed evaluation processes. Utilized project-specific guidelines to meet strict standards in remote settings. • Conducted comprehensive transcription and language processing tasks. • Ensured the linguistic integrity and accuracy of transcriptions. • Participated in quality control and analysis discussions. • Consistently met project deadlines and quality benchmarks.

Performed audio-to-text transcription in Spanish with emphasis on quality assessment and translation feasibility analysis. Reviewed linguistic accuracy and ensured high content quality through detailed evaluation processes. Utilized project-specific guidelines to meet strict standards in remote settings. • Conducted comprehensive transcription and language processing tasks. • Ensured the linguistic integrity and accuracy of transcriptions. • Participated in quality control and analysis discussions. • Consistently met project deadlines and quality benchmarks.

2025

AI Training & Multimedia Content Evaluation- RWS

Internal Proprietary ToolingImageEvaluation Rating

Engaged in AI training and multimedia content evaluation through simulation of AI prompts and responses. Evaluated and modified audiovisual content to align with user requirements and improve AI output quality. Conducted thorough assessments of AI-generated results in multimedia contexts. • Performed AI prompt and response simulations for multimedia content. • Enhanced user alignment through detailed content modification and evaluation. • Participated in comprehensive AI output quality assessments. • Collaborated with team members to optimize content evaluation strategies.

Engaged in AI training and multimedia content evaluation through simulation of AI prompts and responses. Evaluated and modified audiovisual content to align with user requirements and improve AI output quality. Conducted thorough assessments of AI-generated results in multimedia contexts. • Performed AI prompt and response simulations for multimedia content. • Enhanced user alignment through detailed content modification and evaluation. • Participated in comprehensive AI output quality assessments. • Collaborated with team members to optimize content evaluation strategies.

2025 - 2025

Audiovisual Content Evaluation- RWS

OtherVideoEmotion Recognition

Analyzed and classified videos based on perceived emotional responses as part of content evaluation tasks. Applied specific evaluation guidelines to maintain high standards in classification. Regularly reviewed quality control criteria to enhance overall multimedia analysis. • Conducted detailed emotional response analysis on audiovisual content. • Followed strict classification guidelines for consistent evaluation. • Participated in team discussions to refine evaluation processes. • Utilized advanced multimedia analysis techniques for quality assurance.

Analyzed and classified videos based on perceived emotional responses as part of content evaluation tasks. Applied specific evaluation guidelines to maintain high standards in classification. Regularly reviewed quality control criteria to enhance overall multimedia analysis. • Conducted detailed emotional response analysis on audiovisual content. • Followed strict classification guidelines for consistent evaluation. • Participated in team discussions to refine evaluation processes. • Utilized advanced multimedia analysis techniques for quality assurance.

2025 - 2025

Image Labeling and Annotation Project-TELUS

TelusImageBounding BoxClassification

Image labeling and annotation project focused on identifying and tagging objects within images according to predefined categories. Tasks included assigning accurate labels to visual elements, selecting relevant objects, and outlining object contours or regions when required to ensure precise annotations. The work was performed following detailed guidelines and quality standards, contributing to datasets used for training and validating computer vision and AI models.

Image labeling and annotation project focused on identifying and tagging objects within images according to predefined categories. Tasks included assigning accurate labels to visual elements, selecting relevant objects, and outlining object contours or regions when required to ensure precise annotations. The work was performed following detailed guidelines and quality standards, contributing to datasets used for training and validating computer vision and AI models.

2024 - 2025

Education

Work History