Salary: $90,000 - 130,000 per year Requirements:
- We bring at least 2 years of experience in backend engineering, AI automation, or complex systems integration.
- We have a proven track record of building and supporting production-ready software with clean modular architecture, such as separate services for parsing, processing, and reporting.
- We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we work confidently with SQL databases.
- We have practical experience developing for live, real-world environments and managing multi-step system interactions.
- We demonstrate exceptional attention to detail and can deliver precise, high-value technical feedback on intricate system behavior.
- It is a plus if we have experience designing multi-stage coordination workflows where information gathering leads to thoughtful output.
- It is an advantage if we have integrated agents with live tools such as Supabase, Gmail, and other APIs to solve practical problems.
- It is helpful if we are comfortable implementing persistent state and session tracking using MEMORY.md to monitor agent progress.
- It is a bonus if we can identify subtle issues such as privacy leaks, authority escalation, or indirect prompt injection.
Responsibilities:
- We help train advanced AI agents by providing high-quality human feedback.
- We contribute to projects that teach large language models how to plan, coordinate, and optimize complex real-world workflows.
- We assess and refine multi-step autonomous agent behavior across varied scenarios.
- We support the development of proactive systems that can operate through structured, real-world architectural tasks.
- We review system outputs carefully and provide clear, detailed technical observations.
- We help identify flaws, edge cases, and failure modes in agent interactions and tool usage.
Technologies:
- AI
- Backend
- Support
- Java
- JavaScript
- Python
- SQL
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We are Outlier, and we work with some of the worlds most innovative companies to improve AI agents through human feedback. Our focus is on training large language models to become proactive, multi-step agents that can design, coordinate, and optimize complex architectural workflows in real-world settings. We are looking for experienced builders and orchestration-minded professionals who want to help shape the future of autonomous systems like OpenClaw.
last updated 40 week of 2026
