Enter a job title or keyword

Full Remote 15MData Engineer – AI Data Platform Annotation & Data Management

GAIDOOR株式会社

Job Location:

Tokyo - Japan

Monthly Salary: JPY 750 - 1500

Experience Required: 3years

Posted: 12 September 2026 (2 days ago)

Application Deadline: 10 December 2026

Vacancies: 1 Vacancy

Job Summary

One of the leading AI companies we work closely with is looking for a Data Engineer to build and improve the data foundation behind the development of advanced Generative AI LLM and VLM technologies.

The company develops proprietary large-scale Japanese-language LLMs from scratch and provides enterprise AI solutions used by more than 300 companies including major Japanese enterprises.

In this position you will be responsible for designing and operating the data management and annotation infrastructure that supports AI model development.

The role covers the entire data lifecycle including data collection dataset creation annotation design and quality management data pipelines metadata management and analysis of model outputs.

You will also have the opportunity to develop and customize internal annotation tools specifically designed for the companys AI development tasks.

This is an excellent opportunity for a Data Engineer who wants to work closer to AI/ML development and directly contribute to improving the accuracy and quality of proprietary LLM and VLM models.

About the Company

The company is a Japan-based AI technology company with strong expertise in Generative AI and LLM technologies.

Rather than simply utilizing external AI models the company has the technical capability to develop large-scale Japanese-language LLMs entirely in-house.

In 2024 the company released a Japanese-specialized LLM with 100 billion parameters. Its technology is designed specifically for Japanese-language and business use cases with a strong focus on accuracy security and enterprise applications.

The company currently operates enterprise AI products including an AI agent for the manufacturing industry and a platform supporting enterprise AI implementation.

Its solutions have already been adopted by more than 300 companies including approximately 30% of Nikkei 225 companies.

In 2024 the company raised JPY 4.5 billion in Series D funding bringing its total funding to approximately JPY 8.8 billion. The organization currently has approximately 150 employees.

Job Responsibilities

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

Development Environment

TypeScript / / / Python / Docker / Terraform / AWS / Azure

Why Join This Role

Work directly on the data foundation behind proprietary LLM and VLM development

Influence model accuracy by improving the quality of training and evaluation data

Take ownership from annotation-standard design through internal tooling and operations

Build datasets and data pipelines used directly by AI engineers and researchers

Work with document image and drawing data in advanced AI applications

Collaborate closely with AI engineers and researchers

Work on technology already being deployed at hundreds of major enterprises

Work fully remotely from anywhere in Japan

Requirements

Required Skills

All of the following are required:

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 Skills

Experience developing or customizing annotation tools including web application development

Experience building datasets or designing evaluation processes for Machine Learning projects

Experience building data platforms on AWS GCP or Azure

Experience with annotation of images drawings documents or other unstructured data

Benefits

Benefits

Compensation

Expected Annual Salary:

Salary Review:

Twice a year

Location

Tokyo / Full Remote Work Available Within Japan

Working Style

Primarily full remote

Work from anywhere within Japan regardless of region

Flex-time system

Core hours: 10:00 - 14:00

Average monthly overtime: approximately 10 - 20 hours

Holidays & Leave

123 annual holidays

Five-day workweek (Saturdays Sundays and national holidays off)

Year-end and New Year holidays

Paid annual leave

Maternity leave

Childcare leave

Benefits

Full social insurance coverage

Corporate defined contribution pension plan

Up to 240000 per year in financial support for professional development and AI-related activities

Transportation expenses

Regular health checkups

Influenza vaccinations

Company-provided PC

Five-day onboarding program after joining

Required Skills:

Required Skills All of the following are required: 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 Skills Experience developing or customizing annotation tools including web application development Experience building datasets or designing evaluation processes for Machine Learning projects Experience building data platforms on AWS GCP or Azure Experience with annotation of images drawings documents or other unstructured data

Apply Now