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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: Sep 18, 2026 21 views
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Opportunity snapshot

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Opportunity type

Job

Location

Japan, Tokyo, Minami-Aoyama

Work arrangement

Remote

Compensation

Not disclosed

Employer

GAIDOOR株式会社

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MorrJobs preparation notes

Role shape: Responsibility-led role with a detailed skills profile.

Evidence to prepare: 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.

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

  • No closing date is listed; confirm that the opportunity is still open before applying.
  • The application route is available to verified Talent accounts.
  • Compensation is not disclosed in the listing; confirm it during the employer's process.
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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