Mathematics Researcher (Masters/PhDs)

Mathematics Researcher (Masters/PhDs) - AI Training

About The Role

What if your expertise in advanced mathematics could directly shape how AI reasons, solves problems, and communicates complex ideas to millions of people around the world?

We're looking for Mathematics Researchers with graduate-level credentials to help train and evaluate cutting-edge AI models. Your work will directly influence how AI systems tackle problems in algebra, calculus, statistics, discrete mathematics, and beyond --- making a real and lasting impact on the future of machine reasoning.

This is a fully remote, flexible contract role designed to fit around your existing commitments. No prior AI experience required --- just deep mathematical expertise and a commitment to rigorous, high-quality work.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10--40 hours/week

What You'll Do

• Develop, solve, and critically review advanced mathematical problems with real-world relevance
• Apply your expertise in algebra, calculus, statistics, discrete mathematics, or related fields to design challenging and meaningful problem sets
• Evaluate AI-generated mathematical reasoning for correctness, depth, and rigor
• Collaborate asynchronously with AI researchers and domain experts to strengthen model performance
• Ensure all deliverables meet high standards of mathematical clarity, precision, and depth
• Work independently on task-based assignments --- fully on your own schedule

Who You Are

• Master's or PhD in Mathematics or a closely related field
• Deep expertise in one or more of: algebra, calculus, statistics, or discrete mathematics
• Experienced coding in Python, MATLAB, or Mathematica for research or applied projects
• Exceptionally detail-oriented --- you catch errors others miss and hold your work to a high standard
• Strong written communicator who can explain complex mathematical concepts with clarity
• Self-motivated and reliable when working independently without close supervision

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Background in applied mathematics, mathematical modelling, or computational research
• Familiarity with AI tools, language models, or machine learning concepts
• Experience reviewing or grading advanced mathematical work in academic settings

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible --- work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually stimulating work
• Apply your graduate-level expertise to problems that have a direct, tangible impact on AI development
• Potential for ongoing work and contract extension as new projects launch