Crossing Hurdles is seeking a Mathematics Specialist to review and evaluate AI-generated mathematical solutions for correctness and clarity. The role involves generating high-quality mathematical explanations and supporting AI model improvement through various evaluation tasks and documentation.
Responsibilities:
- Review AI-generated mathematical solutions, proofs, and quantitative reasoning for correctness, clarity, and adherence to prompts
- Evaluate step-by-step mathematical reasoning and identify errors in calculations, proofs, assumptions, methodology, or conceptual understanding
- Generate high-quality mathematical explanations, model solutions, and structured reasoning workflows demonstrating correct approaches
- Analyze AI responses involving pure mathematics, applied mathematics, statistics, probability, optimization, modeling, and discrete mathematics
- Fact-check mathematical claims, formulas, derivations, and quantitative information across multiple domains
- Compare and rank multiple AI-generated responses based on mathematical correctness, rigor, reasoning quality, and explanatory clarity
- Produce expert-level mathematical content that communicates advanced concepts clearly and accurately
- Support AI model improvement through mathematical annotation workflows, evaluation tasks, quality assurance reviews, and structured documentation
- Contribute to the development of prompts and benchmark solutions designed to improve mathematical reasoning in AI systems
Requirements:
- Education: MS or PhD in Mathematics, Statistics, or a related quantitative field from one of the top 100 universities
- Strong expertise in pure mathematics, applied mathematics, proofs, mathematical modeling, statistics/probability, and optimization
- Excellent problem-solving and analytical reasoning skills with the ability to evaluate complex mathematical logic systematically
- Ability to clearly communicate advanced mathematical concepts and translate theory into understandable real-world explanations
- Strong fact-checking and verification skills for quantitative and mathematical information
- Excellent English writing skills with Minimum C1 English proficiency required
- Highly detail-oriented with the ability to identify subtle logical, computational, or methodological issues consistently
- Background in research, analytical writing, programming, debate, or advanced mathematical problem-solving preferred
- For PhD holders: experience developing or critically reviewing advanced mathematical materials such as proofs, textbook sections, research notes, or problem banks
- Previous experience with AI data training, RLHF, model evaluation, or annotation workflows is a strong plus