
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).
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $50 - $150 / hour
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧑💼 Attorney / Lawyer
👻 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 0 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).
• Help the research team understand how legal work is performed in practice • Design realistic legal tasks that qualified professionals could solve and current AI models get wrong • Build realistic evidence files from provided scenarios, including agreements, pleadings, discovery requests, closing checklists, disclosure schedules, office actions, and claim charts • Write task requests specifying deliverables and how uncertainty and justified assumptions should be handled • Solve tasks end to end and document reference solutions with reasoning for every step • Write precise scoring criteria, including acceptable alternative answers and decision-authority limits • Review own and peers' tasks for legal accuracy and ambiguity • Incorporate reviewer feedback within agreed turnaround times and flag guideline gaps or edge cases • Explain workflows, documents, responsibilities, and failure points to the research team • Review research-team scenarios and documents and flag unrealistic elements
• 3+ years of hands-on experience in at least one listed legal area, as an attorney, patent or trademark agent, or IP paralegal • Working knowledge of applicable rules, procedures, and documentation standards • Careful reading and habit of showing evidence behind every conclusion • Clear, precise writing in professional English • Ability to work independently and asynchronously against deadlines • All tasks, documents, and solutions must be human-authored; LLM-generated content is not permitted • Tasks and solutions must be original and not copied from published or easily searchable sources • Must not use real client, matter, employer, or personal data, or privileged/confidential information • Nice to have: experience writing or reviewing AI evaluation tasks, exam questions, case studies, or training material • Nice to have: familiarity with how AI models fail
• Paid trial task • Bonus for each accepted task • Strong performers may move up within the pay range or onto productivity-based pay • Fully remote, asynchronous work • Flexible commitment of 10 or more hours per week
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