Qualifications
ResponsibilitiesDevelop complex mathematical problems for AI training and assessment. Create deterministic problems with one correct answer. Draft comprehensive, verified solutions and document the reasoning process clearly. Design problems that evaluate deep mathematical understanding rather than rote memorization. Utilize Python or specialized tools to construct computational workflows when applicable. Ensure all outputs are technically accurate, reproducible, and well-articulated in English. QualificationsMaster’s or PhD in Mathematics or a closely related field. Proven research or industry experience in mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics. Proficiency in Python, with familiarity in libraries such as numpy, scipy, or pandas. Strong understanding of algorithms, numerical techniques, and computational methods. Capability to create original, complex problems that reflect real mathematical workflows. Exceptional attention to detail and technical writing skills in English.
About the job
anyone-ai is looking for a Mathematics AI Training Specialist based in Mexico to help develop STEM training datasets for advanced AI models. This fully remote position centers on building resources that strengthen AI reasoning in technical fields.
Role overview
The main responsibility in this role is to create challenging mathematical problems. Each problem should be carefully designed to test the capabilities of sophisticated AI systems. Problems must have one clear, verifiable answer and include a full, validated solution.
What you will do
- Develop rigorous mathematical questions for AI training datasets
- Ensure each problem has a single correct answer
- Provide complete and validated solutions for every problem
Impact
Your work will directly support the improvement of AI reasoning across technical domains, helping to advance the performance of AI models used in STEM applications.
About anyone-ai
anyone-ai is dedicated to developing advanced AI technologies by generating high-quality training data. Our projects are integral to improving AI reasoning capabilities in STEM fields, directly impacting the future of artificial intelligence.