Mathematics AI Training Expert - PhD
TLDR
Design advanced, original mathematical problems and fully documented solutions to advance AI reasoning and benchmarking, leveraging Python and computational tools in a rigorous research setting.
- Design advanced and original mathematical problems for AI training and evaluation, ensuring they test deep reasoning rather than surface-level recall.
- Develop deterministic problems with a single verifiable correct answer, maintaining strict mathematical rigor and clarity.
- Produce complete, well-documented solutions with step-by-step reasoning and validated correctness.
- Apply computational tools where relevant, including Python and numerical libraries, to support problem construction and verification.
- Ensure all outputs are precise, reproducible, and clearly written in English for use in AI training pipelines.
- Contribute to improving the quality of AI reasoning datasets by identifying gaps and designing more challenging problem structures.
- Collaborate in a structured workflow focused on high-quality data generation for advanced model evaluation.
- Master’s or PhD in Mathematics or a closely related field such as applied mathematics, computational mathematics, or mathematical physics.
- Strong background in mathematical reasoning, proof-based problem solving, and/or research-level mathematical work.
- Proficiency in Python with experience using libraries such as NumPy, SciPy, Pandas, or similar computational tools.
- Solid understanding of algorithms, numerical methods, and computational problem-solving techniques.
- Demonstrated ability to design complex, original mathematical problems with clear and unique solutions.
- Excellent technical writing skills with strong attention to clarity, precision, and correctness in English.
- Experience with mathematical modeling, optimization, symbolic computation, or related research tools is highly desirable.
- Familiarity with olympiad-level, graduate-level, or research-level problem design is a strong advantage.
- Prior experience in AI evaluation, benchmarking, or dataset creation is a plus.
- Competitive hourly compensation up to 40 USD per hour
- Flexible remote contract arrangement with approximately 20 hours per week commitment
- Short-term project (2 months) with potential for extension based on performance and demand
- Opportunity to contribute directly to frontier AI model development and evaluation
- High-impact research work applied to real-world AI reasoning systems
- Exposure to advanced AI training pipelines and cutting-edge mathematical datasets
- Flexible working schedule with fully remote setup
Requirements:
Benefits:
Benefits
Flexible Work Hours
Flexible working schedule with fully remote setup
Exposure to AI training pipelines and datasets
Exposure to advanced AI training pipelines and cutting-edge mathematical datasets
Paid Time Off
Short-term project (2 months) with potential for extension based on performance and demand
Remote-Friendly
Flexible remote contract arrangement with approximately 20 hours per week commitment
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- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services