Job 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.

Job Tags

Remote job, Full time, Work at office, Flexible hours, Shift work,

Similar Jobs