Company
Technology
MathematicsAITrainingExpert-PhD
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Mathematics AI Training Expert - PhD. Skills: Mathematics, AI training, Problem design. Design mathematical problems for AI training. Develop deterministic problems”
What You'll Achieve.
Improve quality of AI reasoning datasets
Industry & Context.
Mathematical problem solving
What They're Looking For.
Must Have
Master's or PhD in Mathematics, Proficiency in Python, Solid understanding of algorithms, Demonstrated ability to design complex mathematical problems, Excellent technical writing skills
Nice to Have
Experience with mathematical modeling, Experience with optimization, Experience with symbolic computation, Familiarity with olympiad-level problem design, Familiarity with graduate-level problem design, Familiarity with research-level problem design, Prior experience in AI evaluation, Prior experience in AI benchmarking, Prior experience in dataset creation
What You'll Do.
Design mathematical problems for AI training
Develop deterministic problems
Produce documented solutions
Apply computational tools
Ensure outputs are precise
Contribute to improving AI reasoning datasets
Identify gaps in datasets
Design challenging problem structures
Collaborate in structured workflow
Generate high-quality data
How You'll Work.
Team & Collaboration
Structured workflow
Communication Scope
Technical writing
Full Job Description
## Accountabilities 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. Requirements: 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. Benefits: Competitive hourly compensation up to 40 USD per hour Flexible remote contract arrangement with approximately
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