Research Engineer, Synthetic Data
Core
Develop synthetic data methods and systems to transform real-world workflows into structured training tasks for AI agents.
Role type
Research Engineer, Synthetic Data
Builds
Synthetic data generation pipelines and evaluation tools for AI agents
Domain
AI infrastructure, synthetic data, agent training
Deliverable
production ML models
Required skills
Python, Linux, Docker, synthetic data generation pipelines, automated data processing at scale, AI agent evaluation, metrics design (via careerplan.io/jobs/127ac17a-e4a6-4fbd-b50f-9ae01e450c5c-research-engineer-synthetic-data-at-clera)
Preferred skills
Subject-matter expert collaboration, edge case reasoning, unstructured environment adaptability
Technologies
Python, Linux, Docker
Responsibilities
Build pipelines transforming workflows into synthetic tasks, design generation methods to mutate and validate tasks, analyze model performance, develop quality metrics
Seniority
Mid-level, hands-on IC
