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How do you train a reward model from preference data, and what are the key design choices?

A reward model turns pairwise preferences into a scalar signal RLHF can optimize. The signal is the Bradley-Terry loss, the base-model and head choices, and how you validate it before trusting it.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

A reward model turns pairwise preferences into a scalar signal RLHF can optimize. The signal is the Bradley-Terry loss, the base-model and head choices, and how you validate it before trusting it.

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