Computational Mathematics AI Problem Designer

About OpenTrain

OpenTrain AI is the organization hiring for this contract role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and apply in minutes.

This role offers the opportunity to contribute specialized mathematical expertise to the development and evaluation of advanced AI systems while building experience in a fast-growing technical field.

• Remote opportunity available worldwide
• Part-time contractor engagement
• Apply and manage your AI training profile through OpenTrain

About AI Training Work

AI training is the human side of building modern artificial intelligence. Specialists create examples, assess model outputs, and review technical content so AI systems can produce more accurate, reliable, and logically sound responses.

In this assignment, your mathematical problem design and solution verification will help test advanced language models against challenging computational reasoning tasks.

• Work directly with cutting-edge AI evaluation and training
• Use subject-matter expertise to improve model quality
• Build a portfolio of specialized AI training experience

The Role

OpenTrain is seeking a Computational Mathematics AI Problem Designer to create and solve challenging scientific problems for advanced language model development and evaluation. You will work with research-grade and graduate-level computational mathematics content, use Python for scientific programming, and maintain accuracy, rigor, and logical coherence across problem and solution materials.

The work combines original technical content creation, structured quality review, computational verification, and collaborative refinement. The listing identifies this opportunity as entry level, while the assignment requires substantial academic and technical qualifications.

• Engagement type: Part-time contractor
• Time requirement: 20+ hours per week
• Working language: English
• Location: Worldwide and fully remote
• Subject area: Computational mathematics problem design

What You'll Do

You will develop technically rigorous mathematical content and verify that each problem and solution meets a high standard of correctness. Clear documentation and responsive collaboration are important parts of the assignment.

• Develop original research-grade or graduate-level computational mathematics problems using Python
• Define problem categories, secondary tags, and appropriate difficulty levels
• Solve formulated problems using sound mathematical and computational principles
• Verify the accuracy, reliability, and logical coherence of solutions
• Evaluate the quality and accuracy of problems and solutions through structured review
• Collaborate with reviewers and team leads
• Incorporate feedback and refine technical content
• Document reasoning clearly in technical materials

Requirements

This role requires advanced academic preparation in computational mathematics and demonstrated research experience. You should be comfortable designing demanding mathematical problems, checking computational work, and communicating technical reasoning precisely.

Advanced proficiency in Python for scientific coding is preferred. Strong analytical ability, logical reasoning, scientific problem-solving, and communication skills are also important for success.

• PhD or PhD candidacy in computational mathematics
• At least one published peer-reviewed paper
• Ability to design rigorous graduate-level mathematical problems
• Ability to verify computational solutions for accuracy
• Advanced Python proficiency for scientific coding preferred
• Strong analytical and logical reasoning skills
• Excellent scientific problem-solving ability
• Clear written and verbal communication for technical documentation and collaboration

Helpful Background

Experience designing graduate-level mathematical problems, checking computational solutions, and explaining research reasoning clearly will help you contribute effectively. The assignment is especially suited to candidates who enjoy combining mathematical depth with careful evaluation and structured technical writing.

• Graduate-level or research-grade mathematics problem design
• Scientific programming and computational analysis
• Technical review and quality assurance
• Clear explanation of mathematical reasoning

How to Apply Through OpenTrain

Create a free OpenTrain account to build your profile and apply for this opportunity. Your profile can help present your academic background, research experience, and specialized AI training work in one place as you explore future projects.

• Create or update your OpenTrain profile
• Highlight your computational mathematics credentials and publication
• Apply for the role in minutes
• Use your profile to build a longer-term AI training portfolio