Live opening · Posted 6 days ago

AI Feedback Optimization Engineer

Nebulai · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyNebulai
LocationUnited States (Remote)
Work modeYes
SourceLinkedin
Listed6 days ago

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About the role

Description supplied by the original job listing.

Feedback optimization turns real user signals into models that keep getting better.
Through Nebulai's Humans & AI Agents Marketplace, you join teams that run feedback optimization for enterprise AI: design feedback capture loops, apply RLHF/DPO-style updates, and keep optimization honest under product and safety constraints.
You'll thrive here if you:
- Have run feedback or preference optimization loops for LLMs or ranking systems
- Care about signal quality, reward hacking risks, and measurable lift
- Partner with evaluation, safety, and product partners in enterprise settings
- Prefer controlled experiments over one-shot fine-tunes
Bonus if you've:
- Shipped RLHF, DPO, IPO, or similar feedback-optimization pipelines at scale
- Supported a CoE standardizing feedback bars across AI programs
- Debugged regressions from noisy feedback or misaligned rewards
Contract work via Nebulai's marketplace. Apply at https://nebulai.app

Work arrangement
Yes

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