AI Code Reviewer & Systems Evaluation Engineer 2
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一家企业客户目前正在寻找有经验的软件工程师，通过人类反馈来帮助改进先进的AI系统。这项工作支持领先的AI组织训练大型语言模型，使其更好地理解软件开发实践、调试和代码质量。 这是一个前沿计划的一部分，专注于增强AI系统在真实场景中编写、审查和优化代码的方式。你将在塑造AI模型如何评估性能、检测问题和生成可靠输出方面发挥关键作用。 这个机会……
职位描述 · 原文
An enterprise client is currently seeking experienced software engineers to contribute to improving advanced AI systems through human feedback. This work supports leading AI organizations in training large language models to better understand software development practices, debugging, and code quality.
This is part of a cutting-edge initiative focused on enhancing how AI systems write, review, and optimize code in real-world scenarios. You’ll play a key role in shaping how AI models evaluate performance, detect issues, and generate reliable outputs.
This opportunity is ideal for engineers who enjoy analyzing systems, improving code quality, and working on complex technical challenges. You will contribute to AI training projects by evaluating outputs, refining logic, and identifying potential vulnerabilities.
What You'll Do:
Develop objective, verifiable evaluation criteria (rubrics) for system performance
Review system logs and execution paths to improve reliability and code quality
Refactor code and optimize system behavior toward ideal outcomes
Test systems for vulnerabilities, including data exposure and edge-case failures
Provide detailed, high-quality feedback on system performance and outputs
Requirements:
2+ years of experience in backend engineering, AI automation, or systems integration
Strong proficiency in at least two programming languages (e.g., Python, JavaScript, Go, Java)
Experience working with SQL databases
Proven ability to build and maintain production-grade systems
Experience working in live (non-mocked) environments with multi-step interactions
Strong analytical skills and attention to detail
Nice to Haves:
Experience with multi-stage system workflows and coordination tasks
Familiarity with integrating tools such as APIs, databases, or external platforms
Understanding of system vulnerabilities (e.g., privacy leaks, prompt injection, access escalation)
Experience working with AI systems or agent-based workflows
Comfort working with persistent state tracking or similar frameworks
Fully remote and flexible work schedule
Project-based engagement with no guaranteed hours
Work on tasks based on availability and project assignment
Payment is based on completed tasks only
Must accept project invitations before beginning work
Freelancers may accept or decline tasks depending on availability
No guaranteed workload; volume may vary weekly
公司 · Company
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