Job Description
About Us
We build training data and evaluation infrastructure that frontier AI labs use to improve their models. We partner with the world's leading labs to design high-signal datasets and run rigorous evaluations that go beyond static benchmarks. We're a small, early team (post–Series A) where individual contributors have direct impact on how the next generation of models learns and improves.
The Role
We're building out our post-training research team and hiring 2–3 Research Scientists to work together on this mission. Your job is to prove that our data works. You'll design and run training experiments that isolate the impact of our datasets on model behavior, including SFT and RL-based post-training, to measure how different data sources shift capability, generalization, and alignment. Working closely with partner labs, you'll turn our datasets into clear, defensible evidence: this data this improvement under these conditions. It's e...