Gabriel O.

Key Skills

Software

Other

Top Subject Matter

AI training datasets and NLP content

Top Data Types

Text

Top Task Types

Entity (NER) Classification

Classification

Freelancer Overview

AI Content and Data Contributor (Freelance) - Al Content Contributor. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Public Health, N/A and Bachelor of Science in Public Health, N/A. AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Classification, and Named Entity Recognition.

Labeling Experience

AI Content and Data Contributor (Freelance) - Al Content Contributor

ClassificationEntity (NER) Classification

Provided structured content aligned to AI training workflows while following strict labeling and evaluation guidelines. Performed tasks such as sentiment analysis, intent classification, and entity recognition to support dataset readiness. Ensured outputs met quality and coherence requirements through careful review and consistency checks. • Produced high-quality, structured content based on given models • Conducted sentiment analysis, intent classification, and entity recognition • Applied labeling protocols and quality assurance standards • Evaluated AI responses for relevance, coherence, and factual accuracy

2025 - Present

AI Content & Data Contributor (Freelance/Independent) — Remote AI Training platforms | 2025-present

OtherTextEntity (NER) Classification

Produced structured, high-quality AI training content following strict guidelines and labeling protocols. Conducted labeling and evaluation tasks including sentiment analysis, intent classification, and entity recognition to improve dataset quality. Monitored output precision and quality, correcting data inconsistencies to maintain consistent training/evaluation standards. • Sentiment analysis labeling and verification • Intent classification and entity (NER) recognition • AI response evaluation for relevance, coherence, and factual accuracy • Dataset quality improvement through identifying inconsistencies and applying corrections

2025 - Present

Education

Work History