Senior Software Engineer LLM Evaluation (US/Canada/WEU)

The workYou will help create code datasets used to train and evaluate large language models. The work combines software engineering with careful review of AI-generated code and clear explanations of your decisions. You will work with researchers and other teams to test how well AI systems handle software engineering tasks and improve the ways those systems are evaluated. Create code examples and solutions in Python, JavaScript, React.js, C/C++, Java, Rust, and Go.Review and improve AI-generated code for efficiency, scalability, reliability, and quality.Build agents that verify code and identify common error patterns.Design automated checks for solutions to software engineering tasks.Consider the steps in the software engineering cycle and evaluate model performance at each step.Work with cross-functional teams to improve AI coding solutions against industry benchmarks.What it pays and takesThe listing does not provide a pay rate. This is a contractor, part-time role with a one-month term and possible extensions based on performance and fit. Time requirement: 20 or more hours per week, with flexible scheduling.Location: Open to candidates based in Austria, Belgium, Canada, France, Germany, Liechtenstein, Luxembourg, Monaco, the Netherlands, Switzerland, or the United States.Language: Fluent English for clear written and spoken evaluation rationales.Experience: At least three years of software engineering experience.Strong experience building full-stack applications and deploying scalable, production-grade software.Deep knowledge of software architecture, design, development, debugging, and code review or quality assessment.Helpful background: Experience with LLM evaluation or AI model training.Contractor terms: Medical and paid leave are not provided.How it worksApply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find this role and start the application; it does not employ or pay contributors for the work. About AI training workAI training work is the human work behind systems that generate and understand content, including reviewing model answers, testing code, and preparing examples. People with software engineering experience help models produce safer, more accurate, and more useful code.