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Job Description & How to Apply Below
Outlier collaborates with leading AI organizations to improve large language models through human feedback. This work focuses on teaching proactive, multi-step agents to design, coordinate, and optimize complex architectural workflows. You will help evaluate and strengthen real-world agent behavior.
Key Responsibilities:
Write evaluation rubrics for autonomous agent behaviors
Debug detailed agent traces across multi-turn interactions
Stress test agents in live environments
Requirements:
At least two years of relevant experience
Backend engineering, AI automation, or systems integration experience
Production-grade software with modular service separation
Experience with live, non-mocked environments
Clear, detailed feedback on complex system behaviors
Apply Open Claw agent-building skills to evaluate autonomous systems through Outlier’s flexible freelance projects.
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