For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
Jonas Schulz

Jonas Schulz

Administrative Operations Assistant - Aviation and Business

Germany flagHadamar, Germany
$12.00/hrEntry LevelCVAT

Key Skills

Software

CVATCVAT

Top Subject Matter

No subject matter listed

Top Data Types

TextText

Top Task Types

Entity Ner Classification

Freelancer Overview

I am an entry-level professional with a strong background in administrative operations, organization, and attention to detail, making me well-suited for data labeling and AI training data roles. My experience managing documentation and ensuring policy adherence as a Front Desk Assistant Manager has strengthened my ability to accurately handle and process information, while my coursework in Information Management and Artificial Intelligence for Business has provided me with foundational knowledge of data systems and AI concepts. I am adept at learning new tools quickly, thrive in fast-paced environments, and am committed to maintaining high-quality and precise work, which are essential skills for supporting data annotation and training data projects.

Entry LevelGermanEnglishSpanishChinese Mandarin

Labeling Experience

CVAT

Sample Data Labeling Project – Image Classification & Text Annotation

CVATTextEntity Ner Classification
I completed a small self-directed data labeling project to learn the fundamentals of annotation workflows. The project involved classifying ~300 images of everyday objects (shoes, bottles, electronics, etc.) into predefined categories and verifying label consistency. Tasks included: • Classifying images into 10 object categories • Checking data quality and correcting inconsistent labels • Following a simple labeling guideline I created to ensure accuracy • Organizing the dataset in a structured format (CSV)

I completed a small self-directed data labeling project to learn the fundamentals of annotation workflows. The project involved classifying ~300 images of everyday objects (shoes, bottles, electronics, etc.) into predefined categories and verifying label consistency. Tasks included: • Classifying images into 10 object categories • Checking data quality and correcting inconsistent labels • Following a simple labeling guideline I created to ensure accuracy • Organizing the dataset in a structured format (CSV)

2025 - 2025

Education

M

Morningside University

Bachelor of Science, Business Administration with Management Emphasis

Bachelor of Science
2025 - 2025

Work History

M

Morningside University

Front Desk Assistant Manager

Sioux City
2023 - Present
M

Morningside Soccer

Sports Management Intern

Sioux City
2025 - 2025