Evaluate autonomous agents remotely for Outlier, applying backend engineering and technical feedback skills to OpenClaw workflows. This is freelance work.
Outlier collaborates with leading AI organizations to train large language models as proactive, multi-step agents. As an Agentic AI Engineer, you will assess complex system behaviors through structured evaluation and debugging. The work includes designing feedback for architectural workflows and identifying subtle failures. Candidates need at least two years of backend engineering, AI automation, or complex systems integration experience.
Key Responsibilities: Create evaluation rubrics for agent performance
Debug traces from autonomous agent interactions
Stress test agents against complex workflows
Identify privacy leaks and authority escalation
Detect indirect prompt injection failures
Requirements: Maintain production-grade modular software
Work with live tools and non-mocked environments
Handle multi-turn system interactions
Deliver transparent, high-density technical feedback
Two or more years of relevant experience
Apply careful agent evaluation, debugging, and systems expertise to improve OpenClaw and other advanced generative systems.