> Markdown version of [/jobs/ext/3623841-software-engineer-backend-remote](https://www.wearedevelopers.com/jobs/ext/3623841-software-engineer-backend-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Backend - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Automation of Tests, Software Bug Management, C++ (Programming Language), Code Review, Software Debugging, Python (Programming Language), Performance Tuning, TypeScript, Rust (Programming Language), Backend, Codebase, Api Design, Code Restructuring - **Published:** October 8, 2026 - **Apply:** https://www.careerjet.com/jobad/usc46206fb852fefd499dee074e0220ffa ## About the Role * Python, Java, Rust, C++, TypeScript, or similar languages. * Strong understanding of algorithms and data structures. * Backend development and API experience. * Debugging and bug fixing. * Performance optimization and automated testing. * Code review and refactoring. * Strong analytical and problem-solving skills., * Proven experience building scalable backend services and APIs. * Experience working with large or complex codebases. * Strong track record of implementing complex features and resolving technical issues. * Excellent technical communication and attention to detail. ## Description We are seeking experienced Backend Software Engineers to contribute to AI training projects. You'll create realistic coding tasks involving feature implementation and bug fixing, develop deterministic verifiers, and provide high-quality technical input to improve next-generation AI systems. No prior AI experience is required. Key Responsibilities * Create challenging and realistic coding tasks for AI systems. * Implement and fix features across production-style codebases. * Build deterministic verifiers to validate coding solutions. * Debug issues and optimize application performance. * Refactor codebases while maintaining reliability and functionality. * Review code and assess solution quality.