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 is hiring for this contractor assignment and gives specialists a place to build a credible profile, discover relevant opportunities, and grow their experience in a rapidly expanding field.

• Apply through OpenTrain and manage your AI training career in one place.
• Build a portfolio that reflects your specialized expertise and project experience.
• Create an OpenTrain account for free.

About AI Training Work

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

In this role, your mathematical reasoning and scientific coding will help train and evaluate large language models through rigorous problem design, solution development, and structured review.

• Contribute directly to the development of cutting-edge AI systems.
• Work remotely with a flexible part-time structure.
• Use advanced subject-matter expertise in a research-oriented AI project.

The Role

OpenTrain is seeking a Computational Mathematics AI Problem Designer to create and solve advanced scientific problems for AI training and evaluation. You will combine research-level mathematical judgment with Python-based scientific coding, develop rigorous solution paths, and help maintain high standards through structured review.

This is a fully remote contractor assignment lasting three months. The engagement requires at least 20 hours per week, with available schedules of 20, 30, or 40 hours per week. You must also be available for four hours of daily overlap with Pacific Standard Time. The assignment may be extended based on performance and project needs.

• Employment type: Contractor and part time
• Duration: Three months, with possible extension
• Time commitment: At least 20 hours per week
• Schedule options: 20, 30, or 40 hours per week
• Timezone requirement: Four hours of daily overlap with PST
• Work location: Fully remote, worldwide
• Working language: English

What You'll Do

You will produce original computational mathematics content and assess whether problems and solutions meet demanding standards for correctness, clarity, and logical coherence. The work includes both independent development and participation in a structured review process.

• Create original research-grade or graduate-level scientific problems in computational mathematics.
• Develop computational solutions using Python.
• Verify the accuracy, reliability, and logical coherence of mathematical and computational solutions.
• Define problem categories, secondary tags, and appropriate difficulty levels.
• Participate in two-tier reviews of problems and solutions.
• Incorporate reviewer and team-lead feedback promptly.
• Refine problem and solution content to maintain high quality.

Requirements

This role requires advanced academic and subject-matter expertise in computational mathematics. The position is listed as entry level, but applicants must meet the specified doctoral-level and publication requirements.

• PhD or current PhD candidacy in Computational Mathematics.
• Experience designing research-grade or graduate-level computational mathematics problems.
• At least one published peer-reviewed paper.
• Strong analytical reasoning and logical thinking.
• Strong problem-solving ability.
• Strong written and verbal communication skills.
• Ability to verify mathematical and computational solutions for accuracy and logical coherence.
• Advanced Python proficiency for scientific coding and solution development is preferred.

Who Should Apply

This opportunity is suited to a computational mathematics researcher or doctoral candidate who enjoys turning difficult scientific concepts into precise, solvable problems. It is especially relevant for applicants who can combine mathematical depth, Python-based experimentation, and careful technical review.

• Computational mathematics PhD holders and current PhD candidates.
• Researchers with at least one peer-reviewed publication.
• Mathematicians experienced in graduate-level or research-grade problem design.
• Scientific programmers comfortable developing and checking Python solutions.
• Detail-oriented reviewers who respond well to structured feedback.

How the Engagement Works

You will work remotely as a contractor for OpenTrain AI, contributing at least 20 hours per week under one of the available weekly schedules. Daily collaboration must include four hours of overlap with PST. Continued work beyond the initial three-month term depends on performance and project needs.

OpenTrain supports people building careers in AI training and data labeling by helping them present their experience, find work aligned with their expertise, and develop a durable professional portfolio.

• Choose a 20-, 30-, or 40-hour weekly schedule.
• Maintain four hours of daily PST overlap.
• Complete the initial three-month contract remotely.
• Apply through OpenTrain and build your AI training profile.