Computational Mathematics AI Problem Designer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts specialists for projects that help develop better artificial intelligence, while giving contributors a place to build a lasting professional profile.

Creating an OpenTrain account is free, and candidates can apply in minutes to specialized opportunities that match their skills and experience.

• Remote work with a global contributor community
• A profile for showcasing AI training and technical experience
• Opportunities to build a long-term career in a fast-growing field

About AI Training And Scientific Problem Design

AI training is the human side of building modern artificial intelligence. Specialists create examples, evaluate model outputs, and review technical content so AI systems can become more accurate, reliable, and useful.

In this role, your mathematical reasoning and scientific coding will support the development and evaluation of advanced AI systems. The work is research-oriented and combines original problem creation, rigorous solution development, and structured quality review.

• Contribute directly to the development of advanced AI systems
• Use specialized mathematical expertise in a practical AI setting
• Work remotely with flexible part-time or higher-volume scheduling

The Computational Mathematics AI Problem Designer Role

OpenTrain AI is seeking a Computational Mathematics AI Problem Designer to create and solve challenging scientific problems at a research-grade or graduate level. You will translate complex computational mathematics into precise, well-documented problem-and-solution content.

This is a three-month remote contractor assignment requiring at least 20 hours per week. Scheduling options include 20, 30, or 40 hours per week, with at least four hours per day and four hours of overlap with PST. Extension may be possible based on performance and project needs.

• Contractor and part-time engagement
• Three-month contract duration
• At least 20 hours per week
• Options for 20, 30, or 40 hours per week
• At least four hours of daily availability
• Four hours of overlap with PST required
• Remote and worldwide
• English-language work

What You'll Do

You will develop technically demanding content and help ensure that each problem and solution meets high standards for mathematical correctness, computational reliability, and logical coherence. Clear documentation and responsive collaboration are essential parts of the work.

• Develop original research-grade or graduate-level scientific problems in computational mathematics
• Use Python to devise and verify mathematically sound computational solutions
• Define problem categories, secondary tags, and appropriate difficulty levels
• Evaluate the accuracy and quality of problems and solutions through two-tier review
• Incorporate feedback from reviewers and team leads while refining content promptly
• Communicate mathematical reasoning clearly through precise documentation
• Discuss technical decisions and content quality collaboratively

Requirements

This opportunity is intended for a research-oriented specialist with advanced mathematical training and demonstrated research experience. You must be able to design original graduate-level problems and assess technical solutions with careful, structured judgment.

Advanced Python programming for scientific coding is preferred. Strong written and verbal communication skills are also important because the role involves documenting reasoning, reviewing content, and responding to feedback.

• PhD or PhD candidacy in computational mathematics
• At least one published peer-reviewed paper in a relevant field
• Ability to design graduate-level mathematical problems and rigorous solutions
• Advanced Python programming for scientific coding preferred
• Excellent analytical, logical-thinking, and problem-solving skills
• Strong written and verbal communication skills
• Ability to evaluate mathematical accuracy, logical coherence, and solution reliability

Helpful Background

Research experience formulating original and challenging scientific questions will be useful. Familiarity with graduate-level computational mathematics and the discipline to assess technical material through a structured review process will help you succeed.

• Original research experience in computational mathematics
• Experience creating challenging scientific questions
• Careful judgment when reviewing technical content
• A structured approach to mathematical and computational quality control

Why This Work Matters

Every major AI system depends on human-created and human-reviewed examples. By designing rigorous mathematical problems and verifying their solutions, you will help shape how advanced AI systems reason about technical and scientific material.

AI training is also a growing way to apply specialized expertise remotely. This assignment lets you contribute to cutting-edge AI development while building experience in a field that spans problem design, evaluation, and human feedback.

• Apply advanced mathematical expertise to real AI development work
• Help improve the reliability of AI-generated technical reasoning
• Build experience at the intersection of research, coding, and AI evaluation
• Work remotely with a defined weekly commitment

How To Apply Through OpenTrain

Create a free OpenTrain account, build a profile that reflects your computational mathematics and research background, and apply to this opportunity in minutes. Highlight your PhD or candidacy, peer-reviewed publication history, Python experience, and ability to produce rigorous mathematical content.

• Create or update your free OpenTrain profile
• Showcase relevant research and published work
• Describe your Python and scientific coding experience
• Apply through OpenTrain for consideration