This is a job posting for remote software developers to train AI systems, paying $60-$110/hr with 100 openings. The work involves applying software engineering judgment to improve AI's handling of development tasks. It requires experience in languages like Python, Rust, Go, Java, Node.js, or full-stack, but no prior AI experience. A key part of the process is an AI interview assessing debugging, tradeoffs, clean code, edge cases, and communication.
A starter prompt for Claude Code, what you'll need, and how to reach them.
You are a senior software developer with expertise in Node.js, React, and PostgreSQL. You are preparing for an AI interview for a remote contract role paying $60-110/hr. The interview focuses on assessing software engineering judgment: debugging unfamiliar issues, reasoning through tradeoffs, structuring clean code, evaluating edge cases, and communicating technical decisions. Your goal is to develop a concise, high-impact study plan and a small demonstration project that addresses these criteria directly. First, outline a study plan that includes specific topics to review and practice exercises. Second, design a minimal Node.js/Express.js backend with a React frontend that demonstrates: 1) clear error handling and logging for an 'unfamiliar issue' (e.g., external API failure), 2) a clear decision-making process for a common architectural tradeoff (e.g., SQL vs. NoSQL for a specific data model, or server-side vs. client-side rendering), 3) clean, maintainable code structure with comments, 4) handling of at least two relevant edge cases (e.g., empty input, invalid data format), and 5) clear technical documentation (README). Focus on clarity, conciseness, and showcasing your thought process. Use Next.js 16 App Router, React 19, Tailwind v4, and Node.js with Express. For the data persistence, use a simple file-based JSON store for the MVP to avoid database setup complexities for the demo, emphasizing the code structure and reasoning over a full stack database.
Reach out to this company's hiring managers with a proposal to use Lumivara's agent-eval-lab to help refine their AI interview process, or the forge-kit to manage their new hires' project workflows.
we are hiring remote Software Developers to help train next-generation AI systems. Contract, remote, $60–$110/hr, 100 openings. we are looking for developers with 1+ years of hands-on experience in one or more of: Python, Rust, Go, Java, Node.js, full-stack development, Android, or iOS. No prior AI experience is required. The work is mainly about applying real software engineering judgment: writing/reviewing code, debugging, reasoning through technical problems, and helping improve how AI systems handle software development tasks. Important: the AI interview is a key part of the process. Before taking it, prepare to clearly explain: - how you approach debugging an unfamiliar issue - how you reason through tradeoffs, not just final answers - how you structure clean, maintainable code - how you evaluate edge cases and failure scenarios - how you communicate technical decisions clearly - examples from real projects where you fixed bugs, improved performance, or made architecture decisions The interview is not only checking whether you can code. It is also checking how you think, explain, prioritize, and handle ambiguity. Apply here: https://sl1nk.com/software-developer
Standard Next.js development environment.
Operator's standard frontend stack.
Standard for version control and project sharing.
New: how AI-driven interviews evaluate technical reasoning - ~a few hours researching and practicing.
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New: practicing verbalizing complex technical decisions clearly - ~a few hours practicing mock interviews.
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Apply directly via the provided link: https://sl1nk.com/software-developer
“I'm a solo operator with strong full-stack expertise and a deep understanding of AI coding tools. I've specifically prepared for your AI interview format by building a demo project that articulates my debugging, tradeoff analysis, and clean code practices. I am confident I can contribute significantly to training your next-generation AI systems.”
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