Remote LLM Agent Builder (Freelance, Up to $50/hr)

Outlier

Los Angeles (CA)

Remote

USD 57,000 - 81,000

Full time

37 hours ago
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Benefits offered by this job

Remote work
Flexible hours
AI access worth $200+/month

Job summary

Outlier is seeking skilled contributors to shape the future of autonomous agents like OpenClaw. This freelance, remote role offers pay up to $50 USD/hr with weekly payments and the opportunity to earn additional incentives.

Join a world-spanning team trusted by thousands of software engineers for cutting-edge AI agent training and orchestration. Ideal candidates have 2+ years in backend engineering, AI automation, or complex systems integration, with a track record of building production-grade

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.

Responsibilities

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

Skills

Backend engineering
AI automation
Systems integration
Attention to detail
Technical feedback
Coordination tasks
API integration
Security awareness

Tools

Supabase
Gmail
APIs
MEMORY.md

Job description

Outlier is seeking skilled contributors to shape the future of autonomous agents like OpenClaw. This freelance, remote role offers pay up to $50 USD/hr with weekly payments and the opportunity to earn additional incentives.

Join a world-spanning team trusted by thousands of software engineers for cutting-edge AI agent training and orchestration. Ideal candidates have 2+ years in backend engineering, AI automation, or complex systems integration, with a track record of building production-grade

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