Research Operations, Code
Core
Design and operate end-to-end data programs that generate high-quality code and reasoning data to train frontier AI models for leading labs.
Role type
Senior Research Operations Engineer (Data Strategy & Pipeline Design)
Builds
Multi-million dollar data programs, human-expert workflows, synthetic generation pipelines, and model-in-the-loop systems for AI labs.
Domain
Artificial Intelligence / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Technical judgment in coding and ML, operational ownership of complex projects, communication with technical researchers, pipeline design, task design, quality assurance, team management
Preferred skills
Pipeline building with LLMs/agents, research fluency in model benchmarks, experience in consulting or high-growth startups
Technologies
LLMs, agents, synthetic data generation, model-in-the-loop systems, benchmarking frameworks
Responsibilities
Decompose frontier model capabilities to identify capability gaps and design targeted data; Design data production pipelines (human-expert, synthetic, hybrid); Manage end-to-end delivery of data programs; Act as primary contact for AI lab researchers; Design human-expert labeling and evaluation flows; Source, vet, and manage teams of domain experts
Seniority
Senior, hands-on IC with operational ownership
