Mathematics PhD Coding Experts in Canada Creek, Nova Scotia at Jobgether
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Jobgether
Canada Creek, Nova Scotia, B0P 1V0, Canada
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Job Description
Mathematics PhD Coding Experts
Accountabilities:
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.
- 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.
- 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 improving advanced AI systems.
- Research-driven work: Collaborate on challenging scientific computing tasks designed to push the capabilities of frontier AI models.
- Referral opportunity: Eligible participants can earn up to $280 per successful referral, subject to applicable restrictions.
- Privacy and confidentiality: Projects are designed without requiring access to confidential or proprietary information from previous employers, clients, or institutions.
- Important eligibility note: H-1B and STEM OPT candidates are not currently supported for this engagement.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location
Canada Creek, Nova Scotia, B0P 1V0, Canada
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