- Singapore, Singapore
- On-site
- Full-time · Mid
- $100K–$170K per year
- 2+ years
- Visa sponsorship
Join a small engineering team building synthetic data systems for AI agents. You will turn domain-specific workflows into scalable training tasks, helping improve how models learn and perform in real-world applications.
Compensation
Annual base salary: $100,000 to $170,000 USD.
Responsibilities
- Build pipelines that convert professional and technical workflows into realistic, structured training tasks
- Collaborate with subject-matter experts to develop tasks across distinct domains
- Design methods for generating diverse, realistic, and learnable synthetic tasks
- Create tools to mutate, validate, and improve generated tasks
- Analyze agent performance to understand task effectiveness and identify failure modes
Requirements
- Technical education or equivalent technical background
- Nice to have: AI research