Complex Math Data Specialist

About the Role TELUS Digital is seeking research-level mathematicians to contribute to an advanced mathematical reasoning benchmark for a leading AI research organisation. As a Complex Math Data Specialist, you will design a single original, research-level mathematical problem intended to probe the limits of current AI reasoning systems. The problem should sit beyond the capabilities demonstrated by current frontier models under the programme's evaluation protocol and must have a precise, machine-checkable answer. This is problem authoring, not proof formalisation. You will not be asked to produce a machine-checked proof. Instead, you will create one rigorous mathematical challenge, provide its exact answer and solution, and supply the computational materials required to independently verify the result. The project is particularly suited to researchers with deep expertise in areas such as number theory, combinatorics, algebraic geometry, analysis, topology, differential geometry, PDEs, harmonic analysis, category theory, or mathematical physics. What You'll Do Design one original research-level problem in your area of mathematical expertise. The problem must be new and unpublished. You may build on existing mathematical ideas, but the resulting problem must be sufficiently transformed or combined that its source is not readily identifiable. Make the problem completely self-contained. Include all definitions, conventions, non-standard notation and hypotheses required to solve it. The evaluator will not have access to supplementary papers or references at evaluation time. Define one exact answer and answer type. Accepted formats may include a Python integer, sympy.Expr , sympy.Matrix , tuple of integers, or another explicitly supported machine-checkable format. Approximate answers do not receive credit. Make the problem resistant to guessing. The probability of obtaining the correct answer without performing the substantive mathematical work should be below the progra