Jerrymagne Crispino

Key Skills

Software

Clickworker

Data Annotation Tech

iMerit

Labelbox

Mercor

Remotasks

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Classification

Prompt Response Writing SFT

Transcription

Freelancer Overview

I am a detail-oriented professional with hands-on experience in data entry, quality assurance, and digital file management, making me well-suited for roles in data labeling and AI training data preparation. My background includes processing and verifying large volumes of data, identifying inconsistencies, and ensuring high accuracy and compliance with established guidelines. I am proficient in Google Workspace, MS Office, and digital documentation tools, and have a strong track record of delivering organized, reliable results on time. My ability to review, annotate, and manage data, along with my experience in QA monitoring and report preparation, allows me to support diverse projects that require precision and a keen eye for detail. I am committed to maintaining data integrity and streamlining workflows to support high-quality AI and machine learning outcomes.

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

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