> Markdown version of [/jobs/ext/3279968-remote-software-developer-ai-research-evaluation](https://www.wearedevelopers.com/jobs/ext/3279968-remote-software-developer-ai-research-evaluation). 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). --- # Remote Software Developer - AI Research & Evaluation - **Company:** Turing - **Location:** UK (Remote available) - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, C++ (Programming Language), Software Quality, Software Debugging, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, System Programming, Rust (Programming Language), ReactJS, Backend, Api Design, Golang - **Published:** September 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=49fd774cb3c2f332 ## About the Role * Several years of software engineering experience (3 years or more). * Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go. * Experience building and deploying scalable, production-grade software using modern languages and tools. * Deep understanding of software architecture, design, development, debugging, and code quality/review assessment. * Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: * Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week. ## Description As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) - with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like?: * Work on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS). * Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability. * Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks. * Build agents that can verify the quality of systems-level and infrastructure code and identify error patterns. * Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them. * Design verification mechanisms that can automatically verify a solution to a software engineering task.