OpenClaw Engineer

Job Description

Requirements
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### Must have:

### - We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems. - We have proven experience building and supporting production-ready software with clear modular boundaries, such as separate services for parsing, logic, and reporting. - We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and have worked with SQL databases. - We have practical experience delivering solutions in live, real-world environments and managing multi-step system interactions. - We demonstrate exceptional attention to detail and can provide concise, high-signal technical feedback on sophisticated system behavior. - We ideally have experience designing multi-stage coordination workflows where data collection informs structured reasoning and output. - We are familiar with integrating agents with live tools such as Supabase, Gmail, and other APIs to address practical use cases. - We are comfortable implementing persistent state and session tracking using MEMORY.md to monitor agent progress. - We can identify subtle issues such as privacy exposure, privilege escalation, and indirect prompt injection.

Responsibilities:
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- We help train advanced generative AI systems by providing human feedback on agent performance. - We contribute to projects that teach large language models how to plan, coordinate, and optimize complex real-world workflows. - We assess and refine autonomous agent behavior across multi-step architectural tasks. - We analyze system outputs carefully and deliver precise, actionable feedback on technical quality and failures. - We support the development of proactive, multi-step agents designed for real-world problem solving. - We collaborate with leading AI teams to improve the capabilities of their autonomous systems.
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Company:
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We are Outlier, a company that helps innovative organizations improve AI agents through human feedback. Our work focuses on training large language models to operate as proactive, multi-step systems that can design, coordinate, and optimize complex architectural workflows in real-world environments. We are looking for people who are passionate about orchestration or experienced in software development to help advance some of the most capable generative systems being built today.
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