Research Engineer, Synthetic Data (Singapore Time)
Pragmatike3 days ago
Remote, Indonesia +10 moreSenior
Responsibilities
- Create synthetic tasks for training AI agents across professional and technical domains.
- Design methods that generate diverse, realistic, and learnable synthetic tasks.
- Build systems and tooling to mutate, validate, and improve synthetic tasks.
- Analyze model and agent performance to understand task effectiveness and failure modes.
- Develop metrics for synthetic task diversity, realism, learnability, and related qualities.
- Take synthetic data pipelines from early research through reliable production systems.
Requirements
- Proficiency in Python, Docker, and Linux environments.
- Experience with synthetic data research methods and a strong understanding of synthetic data quality and limitations.
- Experience building synthetic data pipelines end to end without a fully prescribed roadmap.
- Experience with environments, evaluations, or benchmarks.
- Clear written and spoken English and comfort collaborating remotely across time zones.
- Ability to identify subtle inconsistencies and edge cases and reason about task design, scoring, and failure modes.
- Technical aptitude and learning potential are valued more than years of experience.
Benefits
- Full-time role starting ASAP.
- On-site work is available in San Francisco or Singapore, with remote work available in Singapore or US Pacific time zones.
- Remote candidates must overlap approximately 70–80% with San Francisco or Singapore business hours; the daily schedule is agreed during hiring.
About Pragmatike
Pragmatike is a Paris-based IT services and recruiting firm connecting remote-first companies with software engineers and tech specialists worldwide. Founded in 2022, it places contractors or full-time hires and staffs teams to complete projects for startups and scaleups. The private partnership offers access to a large network of 50,000+ specialists across 60+ countries.