AI Research

Vetto builds infrastructure for next-generation AI training data in partnership with leading AI labs. The AI Researcher will design datasets and evaluations, run experiments, analyze model behavior and failures, and develop improved data and training strategies for AI systems.

Responsibilities:

• Design and run experiments to understand model behavior, test new ideas, and determine whether a dataset or training intervention actually works
• Use fine-tuning and post-training experiments when useful to validate research hypotheses and measure improvements in the capabilities we care about
• Create datasets, benchmarks, agent environments, rubrics, and evaluation methods for problems that are not well measured today
• Work directly with AI labs and enterprise partners to turn open-ended model-development goals into concrete research and data projects
• Dig into model outputs and trajectories to understand systematic failure modes and separate model limitations from problems in the data, grader, or evaluation setup
• Write analysis code and build lightweight tools or prototypes for your own work, with support from engineers when a workflow needs to become reliable infrastructure
• Share what you learn through clear technical reports, internal discussions, benchmarks, and research papers