Hired Mathematics Expert
Posted 1 day ago
Role Overview
We are hiring for one of our clients, seeking a Mathematics Expert (Master’s/Ph.D.) to work on a part-time basis. In this role, you will work on projects that improve and evaluate large language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs.
Key Responsibilities
- Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings.
- Solve problems independently and write detailed, logically structured solutions with clear justifications.
- Review model-generated solutions, identify mathematical errors or missing arguments, and provide precise feedback, annotations, and corrections.
- Contribute to defining new evaluation criteria for mathematical reasoning in AI systems.
- Leverage AI tools to enhance analytical capabilities and improve problem-solving efficiency.
Required Skills & Qualifications
- Master’s or Ph.D. in Mathematics, Applied Mathematics, or a closely related field.
- Proficiency in number theory, combinatorics & discrete mathematics, probability & statistics, mathematical logic & foundations, differential equations & dynamical systems, algebra, calculus & analysis, geometry & topology.
- Ability to break down complex mathematical concepts into simple, clear explanations.
- Experience writing reliable Python code for computational projects and verifying numerical answers.
- Strong written communication skills to document solutions, rationales, and feedback clearly.
More About the Opportunity
This role offers a unique opportunity to work with a global leader in the Research Services industry, contributing to projects that shape the future of AI-driven mathematical reasoning. The position provides exposure to cutting-edge research in AI evaluation and development.
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