Data Engineer – AI Data Platform, Annotation & Data Management

Jobtailor; Deutschland; Remote; EUR 45.000 - 75.000; Vollzeit

Zusammenfassung

Jobtailor in Germany is seeking a data annotation and data pipeline specialist to design and operate data collection and annotation workflows. You will build, maintain, and improve datasets for AI model development and collaborate with engineers and researchers.

The role requires experience with data processing, SQL, Python, and hands-on use of AI coding tools; strong Japanese communication is valued. This is a full-time on-site position.

Qualifikationen

• Experience designing and operating data collection, data preparation, or annotation workflows.
• Basic experience with data processing and data pipeline development using SQL, Python, or similar technologies.
• Business-level Japanese communication skills and ability to reside and work in Japan.
• Preferred: Experience developing or customizing annotation tools, including web application development.
• Preferred: Experience building datasets or designing evaluation processes for ML projects.
• Preferred: Experience building data platforms on AWS, GCP, or Azure.
• Preferred: Experience with annotation of images, drawings, documents, or other unstructured data.

Aufgaben

• Design annotation standards and workflows for training and evaluation data.
• Manage annotation operations and data quality.
• Develop, customize, and operate annotation tools.
• Collect data from customer datasets, public sources, and other relevant sources.
• Build, organize, and maintain datasets for AI model development.
• Review model outputs and data-quality issues and provide feedback to engineers and researchers.
• Design, develop, and operate data pipelines covering collection, preprocessing, and storage.
• Manage metadata across datasets and data pipelines.
• Support data security and personal information protection requirements.
• Collaborate with engineers and AI researchers to improve data quality and model performance.

Kenntnisse

Workflow design

Data pipeline development

Annotation tools

AI coding tools

Japanese communication

Tools

GitHub Copilot

Cursor

Claude Code

AWS

GCP

Azure

Jobbeschreibung

• Design annotation standards and workflows for training and evaluation data


• Manage annotation operations and data quality


• Develop, customize, and operate annotation tools


• Collect data from customer datasets, public sources, and other relevant sources


• Build, organize, and maintain datasets for AI model development


• Review model outputs and analysis results and identify initial accuracy or data-quality issues


• Provide feedback to engineers and researchers based on data and model analysis


• Design, develop, and operate data pipelines covering data collection, preprocessing, and storage


• Manage metadata across datasets and data pipelines


• Support data security and personal information protection requirements


• Collaborate closely with engineers and AI researchers to continuously improve data quality and model performance

Requirements

• Experience designing and operating data collection, data preparation, or annotation workflows


• Basic experience with data processing and data pipeline development using SQL, Python, or similar technologies


• Ability to continuously manage and maintain high-quality datasets


• Active use of AI coding tools such as GitHub Copilot, Cursor, Claude Code, or similar tools in daily development


• Business-level or higher Japanese communication skills, including the ability to discuss technical development topics in Japanese


• Ability to reside and work in Japan


• Preferred: Experience developing or customizing annotation tools, including web application development


• Preferred: Experience building datasets or designing evaluation processes for Machine Learning projects


• Preferred: Experience building data platforms on AWS, GCP, or Azure


• Preferred: Experience with annotation of images, drawings, documents, or other unstructured data

Core Competencies

Demonstrates expertise in designing and managing data collection and annotation workflows, ensuring high-quality datasets for AI model development. Proficient in data pipeline development and familiar with AI coding tools, with strong communication skills in Japanese.

Highest-signal resume keywords

• Data Collection Workflow Design


• Data Pipeline Development


• Annotation Tool Customization


• AI Coding Tools Usage


• Japanese Communication Skills

Hard Skills

• Data Annotation


• Data Quality Management


• SQL


• Python


• Data Preprocessing


• Machine Learning


• Dataset Maintenance


• Web Application Development


• Data Security


• Metadata Management

Industry Keywords

• AI Model Development


• Data Platforms


• Unstructured Data Annotation


• Technical Development


• Data Privacy

Tools & Technologies

• GitHub Copilot


• Cursor


• Claude Code


• AWS


• GCP


• Azure