Edralyn Mangonay

Key Skills

Software

iMerit

Labelbox

Label Studio

Mindrift

OneForma

Telus

Micro1

Other

Top Subject Matter

Voice AI / Speech Recognition

Multilingual Speech AI

Natural Language Processing (NLP)

Top Data Types

Audio

Document

Image

Text

Top Task Types

Audio Recording

Bounding Box

Data Collection

Entity (NER) Classification

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

RLHF

Translation/Localization

Freelancer Overview

Voice Coach / AI Trainer — Micro1. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Micro1, Telus, and Other. Education includes Bachelor of Science, AMA University (2025). AI-training focus includes data types such as Audio and Text and labeling workflows including Evaluation, Rating, and Entity (NER) Classification.

Labeling Experience

Voice Coach / AI Trainer — Micro1

Micro1Audio

As a Voice Coach and AI Trainer at Micro1, I evaluated AI-generated speech for clarity, tone, pronunciation, and pacing. My work involved analyzing voice outputs to assess naturalness and conversational flow. I provided structured feedback to improve the realism and performance of AI voice models. • Assessed pronunciation and tone in multiple languages. • Evaluated pacing and coherence of generated voice responses. • Delivered detailed feedback for iterative model improvement. • Specialized in voice and speech analysis for AI applications.

As a Voice Coach and AI Trainer at Micro1, I evaluated AI-generated speech for clarity, tone, pronunciation, and pacing. My work involved analyzing voice outputs to assess naturalness and conversational flow. I provided structured feedback to improve the realism and performance of AI voice models. • Assessed pronunciation and tone in multiple languages. • Evaluated pacing and coherence of generated voice responses. • Delivered detailed feedback for iterative model improvement. • Specialized in voice and speech analysis for AI applications.

2024 - Present

AI Trainer / Data Label Specialist — Alignerr AI

OtherText

As an AI Trainer and Data Label Specialist at Alignerr AI, I reviewed text datasets to enhance natural language models. My tasks involved evaluating AI-generated responses for clarity and tone. I provided detailed and structured feedback aimed at optimizing LLMs for better performance. • Conducted quality control on text datasets. • Assessed AI responses for tone and clarity. • Provided feedback to improve NLP model outputs. • Worked with conversational and prompt-based data.

As an AI Trainer and Data Label Specialist at Alignerr AI, I reviewed text datasets to enhance natural language models. My tasks involved evaluating AI-generated responses for clarity and tone. I provided detailed and structured feedback aimed at optimizing LLMs for better performance. • Conducted quality control on text datasets. • Assessed AI responses for tone and clarity. • Provided feedback to improve NLP model outputs. • Worked with conversational and prompt-based data.

2023 - Present

Data Annotation Specialist & Reviewer — iMerit

ImeritTextEntity Ner Classification

As a Data Annotation Specialist and Reviewer at iMerit, I annotated and reviewed Filipino language text datasets. My primary focus was on linguistic quality assurance and personally identifiable information (PII) tagging. I ensured data integrity for AI applications requiring high-level text classification and annotation. • Performed linguistic QA and PII tagging. • Ensured compliance and data anonymization protocols. • Annotated diverse Filipino language datasets. • Supported high-quality text data pipelines.

As a Data Annotation Specialist and Reviewer at iMerit, I annotated and reviewed Filipino language text datasets. My primary focus was on linguistic quality assurance and personally identifiable information (PII) tagging. I ensured data integrity for AI applications requiring high-level text classification and annotation. • Performed linguistic QA and PII tagging. • Ensured compliance and data anonymization protocols. • Annotated diverse Filipino language datasets. • Supported high-quality text data pipelines.

2023 - 2023

AI Trainer / Evaluator — Outlier AI

OtherText

As an AI Trainer and Evaluator with Outlier AI, I compared and ranked outputs of large language models. My work centered on conducting A/B testing to improve generative AI performance. Through detailed evaluation, I contributed insights that enhanced LLM output quality. • Executed A/B tests for model comparison. • Performed ranking tasks for generative model outputs. • Analyzed feedback for iterative model improvements. • Focused on LLM-generated text responses.

As an AI Trainer and Evaluator with Outlier AI, I compared and ranked outputs of large language models. My work centered on conducting A/B testing to improve generative AI performance. Through detailed evaluation, I contributed insights that enhanced LLM output quality. • Executed A/B tests for model comparison. • Performed ranking tasks for generative model outputs. • Analyzed feedback for iterative model improvements. • Focused on LLM-generated text responses.

2023 - 2023

AI Trainer — TELUS AI Digital Solutions

TelusAudio

As an AI Trainer at TELUS AI Digital Solutions, I collected and evaluated Filipino audio datasets for speech model enhancement. My role included assessing accents, tone variation, and pronunciation accuracy. I contributed structured evaluations to optimize multilingual speech and accent recognition systems. • Evaluated audio data for language model training. • Focused on pronunciation and accent variation assessment. • Improved model accuracy with structured feedback. • Worked with Filipino and multilingual data sets.

As an AI Trainer at TELUS AI Digital Solutions, I collected and evaluated Filipino audio datasets for speech model enhancement. My role included assessing accents, tone variation, and pronunciation accuracy. I contributed structured evaluations to optimize multilingual speech and accent recognition systems. • Evaluated audio data for language model training. • Focused on pronunciation and accent variation assessment. • Improved model accuracy with structured feedback. • Worked with Filipino and multilingual data sets.

2023 - 2023

Education

Work History