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Japan, Tokyo, Minami-Aoyama Remote

【Full Remote - ¥15M】Data Engineer – AI Data Platform / Annotation & Data Management at GAIDOOR株式会社 | Minami-Aoyama, Japan (Remote)

Company/Recruiter: GAIDOOR株式会社

Published on: 5:01 AM | Sep 18, 2026 17 views
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✦ AI Summary

GAIDOOR株式会社 is seeking a talented Data Engineer to join a leading AI company and build robust data foundations for advanced Generative AI and Large Language Model development.

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MorrJobs editorial notes

Our reading of this this opportunity 【Full Remote ¥15M】Data Engineer – Ai Data Platform / Annotation &Amp; Data Management opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by GAIDOOR株式会社. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.

What to demonstrate

Connect your CV or portfolio to Strong experience with data engineering and pipeline development; Proficiency in Python, SQL, and cloud platforms. Use one concrete example that shows you can Design and implement scalable data pipelines for AI model training and evaluation.

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Confirm that Japan, Tokyo, Minami-Aoyama and the stated work arrangement suit you.

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GAIDOOR株式会社 is seeking a talented Data Engineer to join a leading AI company and build robust data foundations for advanced Generative AI and Large Language Model development. This role offers the opportunity to work on cutting-edge AI data infrastructure, managing critical annotation and data management pipelines that power next-generation AI systems.

Job Overview

You will be responsible for architecting and maintaining scalable data platforms that support AI model training and deployment. Working remotely, you'll collaborate with a forward-thinking team to ensure data quality, accessibility, and integrity across annotation and management systems.

Key Responsibilities

  • Design and implement scalable data pipelines for AI model training and evaluation
  • Develop annotation and data management systems to support LLM development
  • Ensure data quality, validation, and integrity throughout the platform
  • Optimize data infrastructure for performance and cost efficiency
  • Collaborate with AI researchers and engineers on data requirements
  • Monitor and maintain production data systems

Requirements

  • Strong experience with data engineering and pipeline development
  • Proficiency in Python, SQL, and cloud platforms
  • Knowledge of data annotation and labeling workflows
  • Experience with distributed data systems and ETL processes
  • Excellent problem-solving and communication skills

What We Offer

  • Fully remote work arrangement
  • Competitive compensation package
  • Opportunity to work on cutting-edge AI projects
  • Professional growth within an innovative organization

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