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Armin Parchami
Bio
Armin Parchami is the Director of Research Engineering at Snorkel AI, where he leads work on synthetic data, data quality, and model fine-tuning. He previously held technical leadership roles at Ford and Nokia Bell Labs, focusing on multimodal AI and autonomy. His work centers on moving research into production.
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Armin Parchami
Data quality and rubrics: how to build trust in your models
Rubrics aren’t just for evaluation—they’re a blueprint for better data annotation. In this post, we explore how structured rubrics enable scalable, high-quality labeling and evaluation of GenAI systems. Learn how Snorkel and leading labs use rubrics to align human and automated judgment and accelerate trusted AI development.
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Model Accuracy