Mathematics Specialist

Human Frontier – Mathematics (AI / LLM Training)

Location: Remote

Engagement Type: Contract / Freelance / Full-time (Project-based)

About Innodata

Innodata is a global leader in data engineering and AI services, partnering with Fortune 500 companies and advanced AI research labs. We specialize in delivering high-quality human feedback that powers the training, evaluation, and alignment of Large Language Models (LLMs).

Role Overview

We are looking for highly skilled Mathematics experts to support the training of next-generation AI and LLM systems. As a Human Frontier – Mathematics, you will design challenging mathematical problems, evaluate AI-generated responses, and provide detailed, structured feedback to improve model reasoning and accuracy.

This role sits at the intersection of mathematics, reasoning, and AI—ideal for candidates who enjoy pushing intellectual boundaries and shaping how AI systems think.

Key Responsibilities

• Design high-difficulty mathematics problems that test reasoning, logic, and edge cases in LLMs
• Create clear, step-by-step, verifiable solutions with strong mathematical justification
• Evaluate LLM-generated responses to identify logical gaps, incorrect assumptions, or reasoning flaws
• Provide detailed feedback, annotations, and corrections to guide model improvement
• Ensure accuracy, clarity, and consistency in all mathematical explanations
• Collaborate with AI research and data teams on iterative model training and evaluation

Required Qualifications

• Master’s degree or higher in Mathematics (Pure, Applied, Statistics, or related fields)
• Strong foundation in mathematical reasoning, proofs, and problem formulation
• Ability to explain complex mathematical concepts in a structured and precise manner
• High attention to detail and strong analytical rigor
• Comfort working with AI-generated outputs and evaluating correctness

Preferred Qualifications

• PhD in Mathematics or a related discipline
• Experience in teaching, academic research, competitive mathematics, or content creation
• Prior exposure to AI/ML, LLMs, or model evaluation projects (nice to have, not mandatory)

Why Join Us?

• Work on the frontline of AI research and LLM training
• Flexible, remote-friendly engagement models
• Opportunity to directly influence how future AI systems reason and learn
• Collaborate with a global team of domain experts and AI practitioners.