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Job Description & How to Apply Below
Outlier collaborates with AI organizations to train large language models as proactive, multi-step agents. As a Multi-Agent Systems Engineer, you will help teach systems to design, coordinate, and optimize complex architectural workflows. The work includes evaluating agent behavior through technical feedback.
Key Responsibilities:
Write evaluation rubrics for autonomous agent behavior
Debug traces produced by multi-step agents
Stress test agents in complex scenarios
Provide clear technical feedback on system behaviors
Teach agents real-world architectural workflows
Requirements:
At least two years of relevant experience
Backend engineering, AI automation, or systems integration experience
Production-grade modular software development experience
Experience with live, non-mocked environments
Ability to assess multi-turn system interactions
Apply multi-agent coordination, backend engineering, and technical evaluation skills to Open Claw projects through Outlier.
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