Computational Mathematics AI Problem Designer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. Create a free profile to showcase your expertise, discover projects, and apply in minutes.

This contract role offers a way to apply advanced computational mathematics expertise to the development of next-generation AI systems while building a durable professional portfolio.

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists create, solve, review, and evaluate examples that help AI systems reason more accurately and reliably. This work is part of a fast-growing technology field and can often be completed remotely with flexible scheduling.

• Contribute directly to the evaluation and improvement of advanced AI systems
• Work remotely with a flexible part-time schedule
• Build evidence of specialized AI training and technical review experience

The Role

OpenTrain AI is seeking a Computational Mathematics AI Problem Designer to create and solve research-grade or graduate-level scientific problems using Python. You will combine mathematical research judgment, computational problem solving, and detailed quality review to produce reliable evaluation content.

The role requires at least 20 hours per week and is structured as part-time contract work. English is the working language, and applicants may be based worldwide.

• Role type: Part-time contractor
• Time requirement: 20+ hours per week
• Work location: Worldwide and remote
• Working language: English

What You'll Do

You will develop technically rigorous problems, solve them using sound mathematical and scientific principles, and help ensure that each problem and solution is accurate, reliable, and logically coherent. You will also contribute to structured classification and quality review.

• Develop original research-grade or graduate-level computational mathematics problems
• Use Python for scientific coding and computational problem solving
• Define problem categories, secondary tags, and appropriate difficulty levels
• Solve formulated problems and validate the mathematical and scientific reasoning
• Review problem and solution accuracy, reliability, and logical coherence
• Incorporate detailed feedback from reviewers and team leads
• Improve clarity, correctness, and overall content quality

Requirements

This role requires advanced academic and technical expertise in computational mathematics. Candidates should be able to design, solve, and validate rigorous mathematical problems and communicate their reasoning clearly.

• PhD or current PhD candidacy in computational mathematics
• At least one published peer-reviewed paper
• Advanced Python proficiency for scientific coding
• Ability to design, solve, and validate graduate-level or research-grade scientific problems
• Strong analytical reasoning and problem-solving ability
• Clear written and verbal technical communication
• Ability to incorporate detailed review feedback

Helpful Experience

Experience developing graduate-level mathematical problems, validating computational reasoning, or reviewing technical solutions will help you succeed in this work.

• Graduate-level mathematical problem development
• Validation of computational reasoning
• Review of technical solutions for accuracy and coherence

Why Build Your AI Training Career With OpenTrain

OpenTrain helps specialists find and grow their careers in AI training and data labeling. Your profile can bring together relevant experience and make it easier to discover projects aligned with your mathematical and programming expertise.

By contributing to AI evaluation, you help shape how advanced systems handle complex reasoning while developing a focused portfolio of technical work.

• Create an OpenTrain account for free
• Showcase specialized skills and project experience in one profile
• Discover remote AI training opportunities that match your background
• Apply quickly and build a long-term technical portfolio