Senior Software Engineer

Senior Software Engineer - Python &TypeScript Work site: Canada- Remote- PST Time zone Part-time- About the Role As a Senior Software Engineer, you will contribute to AI-focused engineering and evaluation workflows. You will work closely with researchers and engineers to translate qualitative judgment into scalable processes and help maintain a high standard of quality across data and evaluation initiatives. Key Responsibilities Design, refine, and iterate on rubrics and evaluation criteria for preference data.Review and label data while maintaining a high standard of quality and identifying subtle issues.Build and maintain pipelines and infrastructure supporting data generation, collection, and evaluation workflows.Synthesize findings from data-related work into clear and actionable technical write-ups, updates, and recommendations.Collaborate closely with researchers and engineers to convert qualitative judgment into scalable processes.Navigate complex and ambiguous technical problems and contribute to practical, high-quality solutions.Communicate technical concepts clearly and concisely to relevant stakeholders. Required Qualiffications 5+ years of professional experience with strong proficiency in:Python, particularly building and maintaining pipelines and infrastructure; orTypeScript, with experience contributing to or navigating large codebases such as VSCode being an advantage.Hands-on experience with preference data collection and/or rubric creation.Strong written and verbal communication skills.Ability to distill complex technical work into clear, structured, and actionable summaries.Strong quality-oriented judgment and the ability to explain why a particular output or approach meets a high-quality standard.Comfortable working in fast-moving and ambiguous environments.Ability to work independently while collaborating effectively with engineering and research teams. Preferred Background Experience working with large-scale or complex codebases.Experience building or maintaining data-generation, data-collection, or evaluation pipelines.Exposure to AI/ML, LLM, model evaluation, or preference-data workflows. What You Can Expect Fully remote working environment.Opportunity to contribute to cutting-edge AI projects.Exposure to projects involving AI evaluation, preference data, and large-scale engineering workflows.Collaboration with experienced researchers and engineers working on advanced AI initiatives.