Job Summary As a Software Engineer, you will review AI-generated code and compare it with how you would write the solution yourself. This role is ideal for developers who enjoy problem-solving, code analysis and review, improving how AI understands and generates technical answers.

Key Responsibilities: Work with Frontier Labs, producing training data to train Al models. Evaluate AI-generated code, technical solutions, and engineering approaches. Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses. Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level. Compare AI-generated solutions against senior engineering standards and best practices.

Requirements: 3–4 years of hands-on experience as a Software Engineer with a strong focus on Frontend development, working on commercial projects, including B2B SaaS and complex, data-heavy systems and applications. Use AI tools (AI agents, Claude Code, Cursor, Codex or similar) in daily workflow. Deep knowledge of TypeScript/JavaScript : generics, conditional and mapped types, discriminated unions, branded types, declaration output Solid experience with React.js, Next.js , HTML5, CSS3 Experience with Git and GitHub/GitLab Understanding of modern frontend architecture and development practices Ability to independently analyze code, understand unfamiliar repositories and identify issues Upper-Intermediate English(B2) Bonus: Computer Science or related education. Willingness to learn new programming languages and work with diverse technologies. Please note that, due to the specific requirements of the project, we are currently unable to consider candidates who are actively working in the iGaming, online gambling, primary focus on cryptocurrency, or closely related industries.

This is not a traditional software development role. You will use your engineering expertise to analyze AI outputs, find issues in their solutions, and help train better AI systems.