Kale Ludwig

Key Skills

Software

CVAT

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Freelancer Overview

I am a detail-oriented professional with extensive hands-on experience in data annotation, labeling, and AI training data preparation. My background includes supporting machine learning model development by annotating and labeling both structured and unstructured datasets, ensuring data quality and accuracy, and evaluating AI-generated outputs for relevance and compliance with project guidelines. I have worked remotely for platforms like Scale AI, Upwork, and Fiverr, where I consistently maintained high productivity and met strict deadlines. My core skills include data analysis, mathematical problem solving, quality assurance, and pattern recognition. I am proficient with data labeling platforms, spreadsheet tools such as Excel and Google Sheets, and basic statistical analysis. I excel at following complex instructions, delivering precise results, and providing clear feedback to improve model performance in fast-paced digital environments.

Labeling Experience

Computer Vision Image Annotation

CVATImageBounding Box

Performed image annotation tasks involving bounding box labeling for object detection models. Identified and annotated specific objects (e.g., kitchen utensils such as forks) according to detailed prompt guidelines. Ensured full visible coverage of target objects while excluding non-specified items. Maintained high accuracy by following strict annotation rules and reviewing outputs for consistency and quality control. Contributed labeled datasets used for training computer vision AI systems.

Performed image annotation tasks involving bounding box labeling for object detection models. Identified and annotated specific objects (e.g., kitchen utensils such as forks) according to detailed prompt guidelines. Ensured full visible coverage of target objects while excluding non-specified items. Maintained high accuracy by following strict annotation rules and reviewing outputs for consistency and quality control. Contributed labeled datasets used for training computer vision AI systems.

2022 - 2025

Education

Work History