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Job Description & How to Apply Below
This opportunity supports Outlier projects that train large language models to function as proactive, multi-step agents. Remote contributors design feedback around real-world architectural workflows and system behavior. The work suits software developers and orchestration specialists with at least two years of experience. Applicants are accepted from Australia, Canada, Finland, France, Italy, Norway, the United Kingdom, and the United States.
Key Responsibilities:
Stress test autonomous agents across real-world workflows
Debug traces from multi-step agent interactions
Write rubrics evaluating agent performance
Identify failures in complex system behavior
Help improve generative systems through human feedback
Requirements:
At least two years of relevant professional experience
Experience building and maintaining production-grade software
Comfort with live tools and non-mocked environments
Understanding of modular services and system integration
Attention to detail when reviewing technical behavior
Use autonomous-agent evaluation, backend development, and system-integration skills to support Outlier’s remote AI training projects.
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