Elvis Vis

Key Skills

Software

Scale AI

Appen

Top Subject Matter

Natural Language Processing

Search Engine Evaluation

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Classification

Freelancer Overview

AI Data Annotator / NLP Data Specialist. Core strengths include Scale AI and Appen. Education includes Certificate, Coursera (2024) and Specialization Certificate, Coursera (2024). AI-training focus includes data types such as Text and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

AI Data Annotator / NLP Data Specialist

Scale AITextClassification

As an AI Data Annotator at Scale AI, I was responsible for annotating and labeling large-scale natural language datasets for machine learning and AI model training. I meticulously reviewed and evaluated text data to ensure accuracy, relevance, and contextual correctness in accordance with detailed annotation guidelines. This role required maintaining consistency and supporting the development of advanced Natural Language Processing systems through improved data quality. • Consistently delivered high-quality ground truth data for training and validating AI models • Identified and addressed labeling errors, inconsistencies, and edge cases in datasets • Achieved high productivity while adhering to strict accuracy and turnaround requirements • Collaborated with quality assurance teams to uphold annotation standards.

As an AI Data Annotator at Scale AI, I was responsible for annotating and labeling large-scale natural language datasets for machine learning and AI model training. I meticulously reviewed and evaluated text data to ensure accuracy, relevance, and contextual correctness in accordance with detailed annotation guidelines. This role required maintaining consistency and supporting the development of advanced Natural Language Processing systems through improved data quality. • Consistently delivered high-quality ground truth data for training and validating AI models • Identified and addressed labeling errors, inconsistencies, and edge cases in datasets • Achieved high productivity while adhering to strict accuracy and turnaround requirements • Collaborated with quality assurance teams to uphold annotation standards.

2025 - 2026

Search Quality Analyst

AppenText

As a Search Quality Analyst at Appen, I evaluated search engine results for relevance and user intent using structured rating guidelines. My work ensured high-quality search experiences by analyzing diverse query types and providing systematic feedback to improve result quality. I performed data annotation and content evaluation to support the training of AI and machine learning models. • Applied detailed quality standards to large-scale datasets • Enhanced search engine performance through targeted feedback and ratings • Maintained high accuracy and consistency under tight deadlines • Supported AI model training with precise annotations and evaluations.

As a Search Quality Analyst at Appen, I evaluated search engine results for relevance and user intent using structured rating guidelines. My work ensured high-quality search experiences by analyzing diverse query types and providing systematic feedback to improve result quality. I performed data annotation and content evaluation to support the training of AI and machine learning models. • Applied detailed quality standards to large-scale datasets • Enhanced search engine performance through targeted feedback and ratings • Maintained high accuracy and consistency under tight deadlines • Supported AI model training with precise annotations and evaluations.

2024 - 2025

Education

Work History