Job Description & How to Apply Below
Outlier helps innovative companies improve AI agents by providing human feedback. As an LLM Agent Evaluation Engineer, you will support systems designed for proactive, multi-step workflows. The work suits software developers and orchestration specialists with production experience, attention to detail, and complex integration skills.
Key Responsibilities:
Debug agent traces and investigate system behavior
Write rubrics for evaluating agent performance
Stress test autonomous agents against complex workflows
Requirements:
Two or more years of relevant professional experience
Experience building production-grade modular software
Practical multi-turn system interaction experience
Ability to deliver high-density technical feedback
Experience identifying privacy leaks and prompt injections
Use LLM evaluation, debugging, and systems expertise to improve autonomous agent performance with Outlier.
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