Remote AI Agent Orchestration Engineer

Outlier; Lappeenranta; Remote; EUR 51,000 - 72,000; Full time

Benefits offered by this job

Weekly payments

AI access $200+/mo

Flexible schedule

Job summary

Outlier is seeking freelance OpenClaw Agent Builder candidates to shape autonomous agents from remote locations. Earn up to $50 USD/hr with weekly payments and additional incentives. Most experts allocate 5-10 hours weekly, with potential up to 40 hours depending on project needs.

The role focuses on training agents, writing evaluation rubrics, and debugging traces. Ideal candidates have 2+ years in backend/AI automation, and are comfortable working in live environments.

Qualifications

• 2+ years of experience in backend engineering, AI automation, or complex systems integration.
• Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
• Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
• Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
• Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
• Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
• High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
• Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Responsibilities

• Write Eval Rubrics
• Debug Agent Traces
• Stress Test Agent

Job description

Outlier is seeking freelance OpenClaw Agent Builder candidates to shape autonomous agents from remote locations. Earn up to $50 USD/hr with weekly payments and additional incentives. Most experts allocate 5-10 hours weekly, with potential up to 40 hours depending on project needs.

The role focuses on training agents, writing evaluation rubrics, and debugging traces. Ideal candidates have 2+ years in backend/AI automation, and are comfortable working in live environments.