Jerrymagne Crispino

Key Skills

Software

Clickworker

Data Annotation Tech

iMerit

Labelbox

Mercor

Remotasks

Telus

Scale AI

Top Subject Matter

General AI/Data Annotation

Legal Services & Contract Review

Regulatory Compliance & Risk Analysis

Top Data Types

Image

Text

Video

Document

Top Task Types

Audio Recording

Bounding Box

Classification

Prompt + Response Writing (SFT)

Transcription

Freelancer Overview

AI Data Annotation Specialist, TELUS Digital. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus. Education includes Bachelor of Secondary Education, Tanauan Institute (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Annotation Specialist

TelusImageBounding BoxEntity Ner Classification

Project focuses on training AI models using real-world images that contain multiple objects. My role involved accurately labeling and annotating images by identifying different objects, drawing bounding boxes, classifying items, and ensuring each object was clearly and correctly tagged according to project guidelines. This project required strong attention to detail, consistency, and the ability to handle complex scenes with multiple overlapping objects. I also followed strict quality standards, reviewed annotations carefully, and made corrections when needed to help improve the accuracy and performance of the AI model.

Project focuses on training AI models using real-world images that contain multiple objects. My role involved accurately labeling and annotating images by identifying different objects, drawing bounding boxes, classifying items, and ensuring each object was clearly and correctly tagged according to project guidelines. This project required strong attention to detail, consistency, and the ability to handle complex scenes with multiple overlapping objects. I also followed strict quality standards, reviewed annotations carefully, and made corrections when needed to help improve the accuracy and performance of the AI model.

2025 - 2025

Multilingual

Data Annotation TechTextTranslation LocalizationEvaluation Rating

This project involved annotating and reviewing multilingual datasets in Tagalog and English to support natural language processing (NLP) and language understanding models. Tasks included text classification, intent labeling, entity tagging, sentiment analysis, and language identification while ensuring cultural and linguistic accuracy across both languages. I followed detailed annotation guidelines, handled code-switching (Taglish) content, and ensured consistency and high-quality outputs. The work required strong bilingual comprehension, attention to linguistic nuances, and careful quality checks to help improve model accuracy and performance in multilingual environments.

This project involved annotating and reviewing multilingual datasets in Tagalog and English to support natural language processing (NLP) and language understanding models. Tasks included text classification, intent labeling, entity tagging, sentiment analysis, and language identification while ensuring cultural and linguistic accuracy across both languages. I followed detailed annotation guidelines, handled code-switching (Taglish) content, and ensured consistency and high-quality outputs. The work required strong bilingual comprehension, attention to linguistic nuances, and careful quality checks to help improve model accuracy and performance in multilingual environments.

2024 - 2025

Audio Recording Tagalog Language

LabelboxAudioEmotion RecognitionTranslation Localization

I worked on recording and submitting high-quality audio data through the Labelbox platform to help train and improve speech recognition and audio-based AI models. My tasks included following detailed recording guidelines, ensuring clear pronunciation, proper pacing, and minimal background noise. I consistently reviewed recordings for quality, corrected issues when necessary, and followed all technical and content requirements. This project required attention to detail, consistency, and the ability to meet strict quality standards to ensure the audio data was accurate, natural, and usable for AI training.

I worked on recording and submitting high-quality audio data through the Labelbox platform to help train and improve speech recognition and audio-based AI models. My tasks included following detailed recording guidelines, ensuring clear pronunciation, proper pacing, and minimal background noise. I consistently reviewed recordings for quality, corrected issues when necessary, and followed all technical and content requirements. This project required attention to detail, consistency, and the ability to meet strict quality standards to ensure the audio data was accurate, natural, and usable for AI training.

2024 - 2025

Education

Work History