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AI Advocate
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Snorkel AI
Jonathan Schlosser is an AI Advocate at Snorkel.ai. He has previously worked as an AI Engineer, an Educator, and Founder. He has taught graduate-level AI and Data Science courses at UNC Chapel Hill for the last few years, and has taught hundreds of data science professionals through programs with Correlation One, Amazon, Google, and others. With 10+ years across the data and AI spectrum, from data science roles to building AI-driven applications, he writes about deep learning, LLMs, and AI agents with a direct and simplified instructional approach.
The latest from Jonathan Schlosser
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Checking the Rubrics: RIFT Results on Five Public Benchmarks
Rubric-based evaluation is now a common way to score the outputs of language models and agents (Hashemi et al., 2024; Wei et al., 2025), and rubrics also serve as the source of reward signals in training (Gunjal et al., 2025; Liu et al., 2026; Ding, 2026). In both uses the rubric is the measurement instrument, and the validity of any…
