Live opening · Posted 7 days ago
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About the role
Description supplied by the original job listing.
Preferences should guide the product, not fight it.
Through Nebulai's Humans & AI Agents Marketplace, you join teams that turn user preferences into durable signals: preference elicitation, implicit feedback, conflict resolution, and ranking objectives that respect what people actually want over time.
You'll thrive here if you:
Have shipped preference learning or feedback-aware ranking in production
Care about cold start, preference drift, and evaluation beyond clicks
Partner with product, data, and personalization engineers in enterprise settings
Prefer transparent tradeoffs over black-box tweaks that do not generalize
Bonus if you've:
Built preference models, RLHF-style reward models, or multi-objective rankers
Supported a CoE standardizing preference quality across AI programs
Tied offline judgments to retention or satisfaction outcomes
Contract work via Nebulai's marketplace. Apply at https://nebulai.app
Work arrangement
Yes
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