Noah Emmanoel Tagulao

Key Skills

Software

Telus

Appen

Toloka

Top Subject Matter

Ads Quality

Search Engine Evaluation

Data Labeling

Top Data Types

Text

Document

Top Task Types

Data Collection

Prompt Response Writing SFT

Freelancer Overview

Ads Quality Rater. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Welocalize, Telus, and Appen. Education includes Bachelor of Science, University of Luzon (2016). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Labeling Experience

Ads Quality Rater

Text

As an Ads Quality Rater at Welocalize, I evaluated digital ads for accuracy, relevance, and compliance with guidelines. My work enhanced the performance of search engine results and improved user experience. I provided ratings and feedback to optimize advertising content. • Rated ads based on relevance and accuracy • Ensured compliance with search engine policies • Provided feedback on ad quality • Collaborated on continuous improvement initiatives

As an Ads Quality Rater at Welocalize, I evaluated digital ads for accuracy, relevance, and compliance with guidelines. My work enhanced the performance of search engine results and improved user experience. I provided ratings and feedback to optimize advertising content. • Rated ads based on relevance and accuracy • Ensured compliance with search engine policies • Provided feedback on ad quality • Collaborated on continuous improvement initiatives

2021 - Present

Data Processing Associate

AppenTextData Collection

At Appen, I worked as a Data Processing Associate specializing in digital text data annotation and processing. I ensured the accuracy and completeness of labeled data to improve AI training outcomes. My work helped refine natural language processing models. • Conducted text data annotation • Processed and verified large datasets • Enhanced quality for AI applications • Supported NLP model updates

At Appen, I worked as a Data Processing Associate specializing in digital text data annotation and processing. I ensured the accuracy and completeness of labeled data to improve AI training outcomes. My work helped refine natural language processing models. • Conducted text data annotation • Processed and verified large datasets • Enhanced quality for AI applications • Supported NLP model updates

2023 - 2024

Data Labelling Specialist

TelusTextData Collection

As a Data Labelling Specialist at Telus, I participated in annotation, data collection, and labeling for digital content. I contributed to improving data quality and AI system training. My tasks focused on establishing accurate datasets for machine learning purposes. • Annotated and labeled digital content • Collected and verified data for training • Ensured high-quality data standards • Supported machine learning model development

As a Data Labelling Specialist at Telus, I participated in annotation, data collection, and labeling for digital content. I contributed to improving data quality and AI system training. My tasks focused on establishing accurate datasets for machine learning purposes. • Annotated and labeled digital content • Collected and verified data for training • Ensured high-quality data standards • Supported machine learning model development

2022 - 2024

AI Tutor Expert Annotator

TolokaTextPrompt Response Writing SFT

As an AI Tutor Expert Annotator at Toloka, I crafted and evaluated AI training prompts and responses. My responsibilities included instructing AI systems and checking their outputs for logic and correctness. This improved the system's ability to understand instructions and deliver reasoned answers. • Developed and annotated AI prompts • Evaluated AI-generated responses • Provided feedback for AI improvements • Enhanced logical consistency in outputs

As an AI Tutor Expert Annotator at Toloka, I crafted and evaluated AI training prompts and responses. My responsibilities included instructing AI systems and checking their outputs for logic and correctness. This improved the system's ability to understand instructions and deliver reasoned answers. • Developed and annotated AI prompts • Evaluated AI-generated responses • Provided feedback for AI improvements • Enhanced logical consistency in outputs

2022 - 2023

Education

Work History