
51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
🔬 Science
🔥 Funding within the last year
💰 $50M Series B on 2026-06
Artificial Intelligence • Science
Patronus AI is a behavioral research lab for artificial intelligence that studies where models and agents fail and how to improve their judgment. They build realistic, domain-specific simulated environments and world models where agents can practice decision-making under fragmented information, conflicting requests, and unstated requirements; analyze agent mistakes; and create training data, benchmarks, and tests (e. g. , TRAIL, MEMTRACK) to improve AI reliability and alignment. The company emphasizes fundamental research, publishes on arXiv, and provides resources such as RL environments, testing frameworks, and domain guides. Their site references enterprise-relevant compliance (SOC 2, HIPAA, TISAX).
🔥 6 minutes ago
🇺🇸 United States – Remote
💵 $50 - $125 / hour
⏳ Contract/Temporary
🟡 Mid-level
📈 Growth Marketing
👻 Ghost score 0%
Where this job comes from
Posted on Patronus AI's careers page, not through a job board
First seen by Remote Rocketship 6 minutes ago

51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
🔬 Science
🔥 Funding within the last year
💰 $50M Series B on 2026-06
Artificial Intelligence • Science
Patronus AI is a behavioral research lab for artificial intelligence that studies where models and agents fail and how to improve their judgment. They build realistic, domain-specific simulated environments and world models where agents can practice decision-making under fragmented information, conflicting requests, and unstated requirements; analyze agent mistakes; and create training data, benchmarks, and tests (e. g. , TRAIL, MEMTRACK) to improve AI reliability and alignment. The company emphasizes fundamental research, publishes on arXiv, and provides resources such as RL environments, testing frameworks, and domain guides. Their site references enterprise-relevant compliance (SOC 2, HIPAA, TISAX).
• Find qualified technical and specialist experts across one to three domains • Hit weekly targets for qualified experts added by domain • Identify people currently doing the work using evidence such as shipped credits, current engine versions, commits, talks, papers, and forum answers • Source candidates through GitHub, engine and framework forums, Discord servers, conference speaker lists, studio credits, paper author lists, specialist job boards, and LinkedIn • Write outreach to senior engineers and other specialists who are not actively looking • Hand off experts with their domain, seniority, and supporting evidence clearly documented • Report market feedback when candidate supply is insufficient • Use AI for market mapping, research, outreach drafting, and funnel analysis • Do not run interviews, extend offers, or close; full-cycle hiring is handled by technical recruiters
• Three or more years sourcing technical or specialist talent, including at least one hard pool you can describe in detail • A method for sourcing candidates beyond LinkedIn Recruiter, including identifying where specialists gather and what generates replies • Ability to name the last five people found who were not applying and not on the first page of results • Technical fluency to assess GitHub profiles, game credits, or papers and determine whether experience is real or adjacent • Ability to build tooling such as scripts, automations, enrichment, and prompts • Comfort being measured on whether candidates pass the screener • Clear, precise writing in professional English • Ability to work independently and asynchronously against deadlines
• Independent contractor engagement • Fully remote work • Rolling start
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