Applied Researcher - Sovereign AI
Prime Intellect · San Francisco · New York · Remote · London
Infrastructureremote$150k–$300k
At a glance
Highlights
- Build private improvement loops turning sensitive traces into deployable updates.
- Train permissioned tool-using agents evaluated against real procedures.
- Develop high-assurance evals for reliability, calibration, and compliance.
What they offer
- Equity incentives
- Professional Development budget
- Team off-sites & conference attendance
- Visa sponsorship & relocation support
Ideal candidate
You are a hands-on experimentalist who thrives in ambiguous partner settings and cares about building trustworthy, auditable AI that institutions can own and improve.
Requirements
- Experience in RL/post-training, private ML, high-assurance evaluation, agent safety or regulated-domain ML
- Hands-on experience building and debugging training, post-training, agent or evaluation loops
- Strong experimental judgment with baselines, trace inspection and failure attribution
- Strong Python and ability to build reusable, inspectable artifacts
- Comfort owning ambiguous problems with external partners
- remote policy
- Remote available
- visa sponsorship
- Visa sponsorship & relocation support available
Lab profile
About Prime Intellect
Building the open superintelligence stack for post-training frontier AI at scale
What they build
- Lab platform
- Compute and environments
- Evaluations
Known for
- Post-training at frontier scale
- SFT and RL
- Tool use and agent workflows
- High-performance training infrastructure
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