Mathematics PhD Coding Experts

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Mathematics PhD Coding Expert based in Canada. This is a specialized opportunity for a mathematics researcher with strong scientific computing and coding expertise to help shape the next generation of AI systems. You will create original, executable research problems designed to challenge advanced frontier models. Your work will combine deep mathematical knowledge with practical programming and rigorous evaluation. You’ll develop scientific prompts, define grading criteria, and assess whether AI-generated solutions meet demanding standards. The role offers the opportunity to apply your research expertise beyond traditional academic settings while contributing to cutting-edge AI evaluation. You’ll work remotely and independently, with a flexible schedule and a focused, research-driven engagement. This is an ideal opportunity for a mathematically rigorous professional who enjoys translating complex scientific concepts into challenging computational problems. Source relevant scientific material from published research, Kaggle datasets, open-source repositories, or original scenarios to develop challenging computational problems. Design original scientific prompts that require meaningful mathematical reasoning and executable solutions. Create clear, rigorous grading criteria that define what constitutes a correct and high-quality solution. Develop tasks with a strong coding focus across relevant mathematical domains such as numerical linear algebra, computational mechanics, and computational finance. Execute and validate submitted code to ensure that tasks are technically sound, reproducible, and appropriately challenging. Calibrate tasks against advanced AI models, refining them until they reliably distinguish between strong and unsuccessful model performance. Apply deep subject-matter expertise to ensure that evaluation tasks accurately reflect real scientific and computational challenges. Collaborate through a structured Git/GitHub and pull-request workflow, following automated quality checks and technical standards. Requirements: PhD in Mathematics, Applied Mathematics, Computational Mathematics, or a closely related discipline. Demonstrated depth and expertise in at least two of the following areas: numerical linear algebra, computational mechanics, and computational finance. Working proficiency in Python or R for scientific computing and computational problem-solving. Strong understanding of mathematical modeling, numerical methods, and scientific computation. Comfortable working with Git/GitHub , including pull requests and version-controlled workflows. Experience running and validating code in Docker or similar containerized environments. Ability to translate complex mathematical and scientific concepts into precise, executable programming challenges. Strong analytical and problem-solving skills, with exceptional attention to technical accuracy and rigor. Ability to work independently, manage priorities, and deliver high-quality research tasks within defined timelines. Preferred: Peer-reviewed publications demonstrating research depth in relevant mathematical or computational fields. Preferred: Previous experience in scientific software development, research engineering, or computational research. Benefits: Fully remote: Work from anywhere in Canada and complete the engagement on your own schedule. Flexible part-time commitment: Approximately 20+ hours per week. 6-week engagement: Immediate start with the possibility of projects being extended, shortened, or concluded early depending on project needs and performance. Independent contractor arrangement: Work as a contractor with flexibility and autonomy. Weekly payments: Compensation paid weekly through Stripe or Wise based on services delivered. AI and research impact: Apply your mathematical expertise to projects focused on evaluating and impro