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Antonio Diaz Perez

AI Data Annotator

USA flagMartinsburg, Usa
$15.00/hrEntry LevelData Annotation Tech

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

General Machine Learning/AI Training
Gaming & Pop Culture - Label content related to games, media, trends
Science - Factuality Checking & Evaluate Explanations

Top Data Types

ImageImage
VideoVideo
TextText
AudioAudio

Top Task Types

Classification

Freelancer Overview

AI Data Annotator. Brings 6+ months of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Science, West Virginia University (2027). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Classification.

Entry LevelEnglishSpanish

Labeling Experience

AI Data Annotator

ImageClassification
As an AI Data Annotator, I was responsible for annotating and labeling datasets comprising text, images, audio, and video for supervised machine learning model training. My role required ensuring accurate, high-quality annotations in accordance with specific project guidelines and industry standards. I assisted in the preparation of structured metadata to improve training data quality and respected all client confidentiality requirements. • Labeled and classified multi-modal datasets for various supervised learning objectives. • Maintained stringent consistency and accuracy throughout annotation tasks to meet project guidelines. • Produced structured metadata and datasets to enhance machine learning performance. • Followed security protocols to ensure all sensitive data remained confidential.

As an AI Data Annotator, I was responsible for annotating and labeling datasets comprising text, images, audio, and video for supervised machine learning model training. My role required ensuring accurate, high-quality annotations in accordance with specific project guidelines and industry standards. I assisted in the preparation of structured metadata to improve training data quality and respected all client confidentiality requirements. • Labeled and classified multi-modal datasets for various supervised learning objectives. • Maintained stringent consistency and accuracy throughout annotation tasks to meet project guidelines. • Produced structured metadata and datasets to enhance machine learning performance. • Followed security protocols to ensure all sensitive data remained confidential.

2025 - 2026

Education

W

West Virginia University

Bachelor of Science, Management Information Systems

Bachelor of Science
2023 - 2027

Work History

S

Shepherd University

Summer Tutor

Shepherdstown
2023 - 2024
P

Priest Field Pastoral Center

Kitchen Assistant

Kearneysville
2019 - 2020