Senior Software Engineer – LLM Evaluation

Accountabilities:: Curate high-quality code examples and technical datasets for model training, benchmarking, and evaluation. Develop accurate solutions to software-engineering tasks and correct or improve implementations across multiple programming languages. Work with technologies such as Python, JavaScript, ReactJS, C/C++, Java, Rust, and Go as relevant to project assignments. Evaluate AI-generated code for technical correctness, maintainability, efficiency, scalability, reliability, and adherence to professional engineering standards. Identify implementation weaknesses, recurring coding errors, and patterns that reveal limitations in AI-generated software. Provide clear, structured rationales explaining technical evaluation decisions and assessment outcomes. Build agents and automated mechanisms capable of assessing code quality and verifying software solutions. Design reliable checks that support consistent and reproducible evaluation across repeated engineering tasks. Evaluate AI capabilities across the full software-development lifecycle, including prototyping, architecture, API design, production implementation, experimentation, launch, monitoring, and maintenance. Assess model-generated technical reasoning and decisions against practical software-engineering expectations. Collaborate with research and cross-functional technical teams to define evaluation strategies and improve coding benchmarks. Contribute to datasets used for training and benchmarking while maintaining rigorous standards for quality and technical accuracy. Help improve coding-focused evaluation systems through iterative analysis of model performance. Complete all work without using confidential, proprietary, unreleased, employer-restricted, client-restricted, or otherwise protected code, datasets, architecture materials, or technical information belonging to any third party. Requirements: 3+ years of professional software-engineering experience. Strong full-stack development capabilities and experience building scalable, production-grade software. Strong understanding of software architecture, system design, API design, and production implementation. Deep knowledge of software development, debugging, code review, and code-quality assessment. Demonstrated ability to review, troubleshoot, and improve complex software implementations. Proficiency in one or more relevant programming languages, including Python, JavaScript, Java, C++, Rust, or related technologies. Experience with ReactJS, C, Go, or additional programming languages is valuable depending on project requirements. Familiarity with software monitoring, operational maintenance, and production reliability. Ability to reason across the complete software-engineering lifecycle and evaluate technical decisions from development through ongoing operation. Strong analytical and problem-solving skills, combined with a rigorous and detail-oriented approach to technical evaluation. Excellent written and verbal communication skills, including the ability to produce concise and well-structured evaluation rationales. Ability to distinguish between technically correct implementations and solutions that may introduce scalability, reliability, maintainability, or architectural concerns. Comfortable working independently and collaborating remotely with research and technical teams. Must be based in the United States, Canada, or an eligible Western European country. Willingness to complete a required AI video interview as part of the application process. Benefits: Fully remote, part-time independent contractor engagement. Flexible workload starting at 10 hours per week , with the potential to work up to 40 hours per week . Approximately one-month initial project duration , with potential extension based on performance and project fit. Opportunity to contribute directly to advanced LLM evaluation, coding benchmarks, and AI-assisted software-engineering research. Exposure to cutting-edge AI evaluation workflows involving realistic software-development scenarios. Opportunity to apply professional software-engineering expertise to improve how AI systems are evaluated. Flexible consulting structure suited to experienced engineers seeking project-based work. International remote collaboration with research and technical professionals. Application process expected to take approximately 15–30 minutes , followed by a required AI video interview. Compensation is project-specific and was not specified in the available job materials. Medical insurance and paid-leave benefits are not included under the independent contractor arrangement.