Mathematics Specialist

Chicago 1 days agoFull-time External
Negotiable
Contract Remote Role DescriptionFast-growing AI data services company and subsidiary of, is seeking mathematicians to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check quantitative information across; write high-quality mathematical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on mathematical correctness and reasoning quality. Your Profile • You hold a MS or PhD in Math/Stats or a related field in one of the top 100 universities. • Confident in pure and applied mathematics, proofs, modeling, statistics/probability, and optimization. • Expert at fact-checking information using public sources across multiple domains. • You communicate mathematics clearly and turn advanced theory into real-world solutions. • Background in research, analytical writing, debate, programming, or mathematics is preferred. • English proficiency C1 and above with excellent writing skills. • For PhD holderss: you have developed or critically reviewed complex math content (e.g., problem banks, proofs, textbook sections, research notes). • Bonus: Data labeling, RLHF, or AI model evaluation experience. Key Responsibilities • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.