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Data Engineer

Southeast Asia's #1 insurance aggregator with 8M+ users, helping millions access transparent and affordable financial protection through insurance aggregation.
Data
Mid-Level Software Engineer
Remote
AI · Finance
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Job Description

BJAK, Southeast Asia's leading insurance aggregator, is seeking a Data Engineer to join their AI systems team. This role focuses on transforming language models into real-world applications, working with a global audience. The position offers a hybrid work arrangement, combining flexible remote work with in-office collaboration at their headquarters in Tokyo, Japan.

The Data Engineer will play a crucial role in fine-tuning state-of-the-art models, designing evaluation frameworks, and implementing AI features in production. The role involves working closely with regional teams across product, engineering, operations, infrastructure, and data to build and scale impactful AI solutions.

The ideal candidate should be independent, action-oriented, and comfortable working in a fast-paced startup environment. They should have strong experience in data preprocessing, machine learning pipelines, and working with both text and image data. The role requires proficiency in Python and SQL, along with hands-on experience in data labeling workflows and quality assurance.

BJAK offers an attractive compensation package including top-market salary, comprehensive health benefits, flexible work arrangements, and various perks such as housing subsidies and unlimited time off. The company operates across Malaysia, Thailand, Taiwan, and Japan, serving over 8 million users through their platform Bjak.com. They're focused on simplifying complex financial products through cutting-edge technologies, including APIs, automation, and AI.

This is an excellent opportunity for someone passionate about AI and data engineering who wants to make a real-world impact while working with a high-performance team focused on excellence and global impact.

Last updated 6 days ago

Responsibilities For Data Engineer

  • Collect, clean, and preprocess user-generated text and image data for fine-tuning large models
  • Design and manage scalable data labeling pipelines, leveraging both crowdsourcing and in-house labeling teams
  • Build and maintain automated datasets for content moderation
  • Collaborate with researchers and engineers to ensure datasets are high-quality, diverse, and aligned with model training needs

Requirements For Data Engineer

Python
  • Proven experience preparing datasets for machine learning or fine-tuning large models
  • Strong skills in data cleaning, preprocessing, and transformation for both text and image data
  • Hands-on experience with data labeling workflows and quality assurance for labeled data
  • Familiarity with building and maintaining moderation datasets (safety, compliance, and filtering)
  • Proficiency in scripting (Python, SQL) and working with large-scale data pipelines

Benefits For Data Engineer

Dental Insurance
Medical Insurance
Vision Insurance
  • Flat structure & real ownership
  • Flexible work arrangement
  • Top-of-market compensation and performance-based bonuses
  • Housing rental subsidies
  • Quality company cafeteria
  • Overtime meals
  • Health, dental & vision insurance
  • Global travel insurance (for employee & dependents)
  • Unlimited, flexible time off