Research Engineer, Synthetic Data (Clera, Singapore, Visa Sponsorship Available)

Build pipelines that turn domain workflows into realistic synthetic training tasks.
Collaborate with subject-matter experts to create tasks across professional and technical domains.
Design generation methods and tools to mutate, validate and improve synthetic tasks.
Analyze model and agent performance to find strengths, gaps and failure modes.
Develop metrics for task diversity, realism, learnability and quality.

2 to 4 years of relevant experience, with at least 2 years in software engineering, ML engineering or AI research.
Hands-on experience building synthetic data generation pipelines.
Proficiency in Python and experience with Linux and Docker.
Background in AI agent or language model evaluation, benchmarks or post-training workflows.