- 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
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Data Engineer – AI Data Platform, Annotation & Data Management Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
