Mathematics Specialist (Masters/PhDs) - AI Training
About The Role
What if your deep expertise in mathematics could directly shape how AI reasons through the world's most complex problems? We're looking for Mathematics Specialists to help train and evaluate cutting-edge AI models — crafting rigorous problems, stress-testing mathematical reasoning, and ensuring AI gets the math right. This is a fully remote, versátil contract role built for people who think precisely, work independently, and take genuine satisfaction in mathematical depth and correctness. Training and onboarding support will be provided.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week

What You'll Do

Develop, solve, and review advanced mathematical problems with real-world relevance and clear pedagogical value

Design complex problem statements across algebra, calculus, statistics, discrete mathematics, or related areas

Evaluate AI-generated mathematical reasoning for accuracy, rigor, and logical coherence

Identify errors, gaps in reasoning,



and areas where AI mathematical output falls short

Collaborate asynchronously with AI researchers and domain experts to improve model performance

Ensure mathematical clarity and depth across all deliverables — notation, logic, and exposition included

Who You Are

Master's or PhD in Mathematics or a closely related field

Deep subject-matter expertise in one or more of: algebra, calculus, statistics, or discrete mathematics

Comfortable writing and running code in Python, MATLAB, or Mathematica for research or applied problems

Precise, clear communicator — you can explain complex ideas without sacrificing accuracy

Self-directed and reliable when working independently on structured, task-based assignments

Fluent in English

Nice to Have

Prior experience with data annotation, evaluation systems, or AI quality workflows

Background in academic research, curriculum development, or mathematical writing

Familiari

📌 Mathematics Specialist (Madrid)
🏢 Alignerr
📍 Madrid