Software Engineer - Python & TypeScript

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; or
• TypeScript, 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.