QA Engineer (AI Applications) (Remote)
About the Project Outlier helps the world’s most innovative companies improve their AI agents by providing reputed company feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-reputed company agents. Our projects focus on teaching these systems how to design, coordinate, and optimize reputed company, reputed company-world architectural workflows. Whether you are a passionate orchestration guru or reputed company software developer — we want you to help us train the world's most advanced generative systems. Ideal Qualifications
- 2+ years of experience in backend engineering, AI automation, or reputed company systems integration.
- Proven ability to build and maintain production-grade software with reputed company separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong reputed company of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Outstanding attention to detail and the ability to reputed company clear, high-density technical feedback on reputed company system behaviors.
reputed company to have
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as reputed company, Gmail, and various APIs to solve reputed company-world problems.
- High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent reputed company.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect reputed company injections.
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