Data Engineer at Bjak

Petaling Jaya, Selangor, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Cleaning, Data Preprocessing, Data Transformation, Machine Learning, Data Labeling, Quality Assurance, Content Moderation, Python, SQL, Data Pipelines

Industry

Software Development

Description

Transform Language Models into Real-World Applications We’re building AI systems for a global audience. We are living in an era of AI transition - this new project team will be focusing on building applications to enable more real world impact and highest usage for the world. This role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions. Why This Role Matters You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. What You’ll Do 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 (e.g., safe vs unsafe content) Collaborate with researchers and engineers to ensure datasets are high-quality, diverse, and aligned with model training needs What Is It Like Likes ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans. Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you. Bias for speed - you believe it’s better to deliver something valuable now than a perfect version much later. See feedback and failure as part of growth - you’re here to level up. Possess humility, hunger, and hustle, and lift others up as you go. Requirements 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 What You’ll Get Flat structure & real ownership Full involvement in direction and consensus decision making Flexibility in work arrangement High-impact role with visibility across product, data, and engineering Top-of-market compensation and performance-based bonuses Global exposure to product development Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals Health, dental & vision insurance Global travel insurance (for you & your dependents) Unlimited, flexible time off Our Team & Culture We’re a densed, high-performance team focused on high quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us. About Bjak BJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.

Responsibilities

You will collect, clean, and preprocess user-generated text and image data for fine-tuning large models. Additionally, you will design and manage scalable data labeling pipelines and collaborate with researchers and engineers to ensure high-quality datasets.