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.
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 DoCollect, 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
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.
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
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
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 BjakBJAK 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.
