What if your years of advanced mathematical training could directly influence how AI reasons through the world's hardest problems? We're looking for Mathematics Experts with Master's or PhD-level credentials to help build and refine the mathematical reasoning capabilities of cutting-edge AI models.
This is a fully remote, versátil contract role. You'll apply deep expertise in algebra, calculus, statistics, discrete mathematics, or related fields to shape AI that millions of people will rely on — working asynchronously, on your own schedule.
Develop, solve, and review advanced mathematical problems with real-world depth and rigor
Design complex problem statements that challenge and improve AI reasoning capabilities
Evaluate AI-generated mathematical outputs for correctness, clarity, and logical soundness
Collaborate asynchronously with AI researchers and domain experts across projects
Ensure mathematical precision and depth across all deliverables
Work independently on task-based assignments — fully on your own schedule
Who You Are
Hold a Master's or PhD in Mathematics or a closely related field
Deep expertise in one or more of: algebra, calculus, statistics, or discrete mathematics
Comfortable working with Python, MATLAB, or Mathematica for research or problem-solving
Exceptionally precise — you care about rigor, clarity, and getting things exactly right
Strong written communicator who can explain complex concepts with precision
Fluent in English and based in the US, Canada, UK, Australia, or New Zealand
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation systems
Background in academic research, technical writing, or mathematical publishing
Familiarity with AI tools or machine learning concepts
Experience creating or reviewing educational mathematical content
Why Jo
📌 Mathematics Expert (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.