Contribute to LLM training and evaluation workflows by developing, testing, and validating full-stack software tasks and real-world coding scenarios.
Build and modify frontend and backend applications, APIs, databases, and integrations used in AI coding and software-engineering workflows.
Review, debug, and evaluate AI-generated code, identifying functional, architectural, performance, and security issues.
Create high-quality coding tasks, solutions, test cases, and technical feedback to improve LLM coding capabilities and software-engineering reasoning.
Key Requirements
3–8 years of professional experience in Full-Stack Software Engineering with strong hands-on development experience.
Proficiency in JavaScript/TypeScript, React/Next.js, Node.js, Python, Java, or similar technologies, with experience across frontend and backend systems.
Strong understanding of APIs, databases, Git, testing, debugging, system design, and cloud-based application development.
Keywords
Full-Stack Software EngineeringJavaScriptTypeScriptReactNext.jsNode.jsPythonJavaAPI DevelopmentDatabase DevelopmentGitTestingDebuggingSystem DesignCloud Application DevelopmentLLM Training and EvaluationLLM TrainingLLM EvaluationFrontend DevelopmentBackend Development
Codefeast
