Remote RL Post-Training Scientist — Decentralized AI Protocols
Bakersfield, Kern County, California, 94199, USA
Listed on 2026-10-30
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Research/Development
AI Evaluation, Research Scientist, AI Business & Operations
Pluralis Research is pursuing Protocol Learning, training and serving large models in a decentralized manner across consumer devices. The role focuses on building the RL post-training stack end-to-end, adapting algorithms for asynchronous, high-latency environments, and shipping the first decentralized post-trained models.
You will work in a remote-first global team, contributing to cutting-edge research with an equity-heavy base salary and visa sponsorship options.
Our organisation is growing, and we are hiring a Remote RL Post-Training Scientist — Decentralized AI Protocols in San Francisco, CA, United States.
Full responsibilities and requirements are described in the listing above.
Learn more about the Remote RL Post-Training Scientist — Decentralized AI Protocols role in the description above.
We appreciate your interest in this position.
Join Pluralis-Research and contribute to our ongoing work.
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