Computational Mathematics Problem Author and Reviewer

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. OpenTrain helps specialists discover meaningful projects, build a credible AI training portfolio, and grow their work in a rapidly expanding industry.

• Remote work with a global contributor community
• A profile that helps showcase your AI training experience
• Opportunities to apply advanced subject-matter expertise to cutting-edge AI development

About AI Training Work

AI training is the human side of building modern artificial intelligence. Specialists create examples, assess model responses, and review reasoning so that large language models can become more accurate, reliable, and useful.

In this role, your mathematical expertise will support the development and evaluation of challenging computational problems and solutions used for model training.

• Contribute directly to the development of advanced AI systems
• Apply your academic and technical knowledge to flexible remote project work
• Help improve model reasoning through rigorous problem and solution evaluation

The Role

OpenTrain AI is seeking a Computational Mathematics AI Problem Author and Reviewer to create challenging scientific problems and computational solutions for large language model training. You will work with research-grade and graduate-level quantitative problems, use Python to develop solutions, and apply rigorous standards for accuracy, reliability, and logical coherence.

The assignment combines original content creation with structured quality review. It is designed for a specialist who can formulate difficult mathematical tasks, assess proposed reasoning, and communicate decisions clearly.

• Remote contractor assignment
• Part-time commitment options of 20, 30, or 40 hours per week
• Three-month contract with potential extension based on performance and project needs
• English-language work
• Worldwide eligibility

What You'll Do

You will develop, solve, and review computational mathematics content according to defined quality standards. The work requires careful attention to mathematical accuracy, problem difficulty, solution logic, and clear documentation.

• Develop original research-grade or graduate-level computational mathematics problems using Python
• Define problem categories, secondary tags, and difficulty levels
• Solve formulated problems with accurate and logically coherent solution paths
• Conduct structured reviews of problem and solution accuracy
• Evaluate mathematical difficulty and logical coherence
• Incorporate reviewer and team-lead feedback
• Refine content and document decisions clearly
• Collaborate proactively with reviewers

Requirements

This assignment requires advanced academic preparation in computational mathematics and demonstrated research experience. Candidates should be able to design demanding quantitative problems and produce or assess rigorous computational solutions.

• PhD or PhD candidacy in Computational Mathematics
• At least one published peer-reviewed paper in a scientific or mathematical domain
• Advanced Python programming for scientific coding
• Ability to design graduate-level quantitative problems
• Ability to develop rigorous solution paths
• Ability to evaluate mathematical accuracy, difficulty, and logical coherence
• Strong analytical and problem-solving ability
• Clear written and verbal communication skills

Who Should Apply

This opportunity may suit computational mathematics researchers, doctoral candidates, and quantitative specialists who enjoy both original problem design and detailed technical review. It is especially relevant for candidates who want to apply research-level expertise to the development of advanced language models.

• Computational mathematics PhD candidates and graduates
• Researchers with peer-reviewed scientific or mathematical publications
• Specialists comfortable creating difficult quantitative problems
• Python users with experience in scientific or computational coding
• Analytical reviewers who can explain decisions and improve work through feedback

How the Assignment Works

You will contribute as a remote contractor for an initial three-month period. Choose a commitment of 20, 30, or 40 hours per week, with possible extension depending on performance and project needs.

Create your OpenTrain profile and apply through OpenTrain to be considered for this computational mathematics AI training assignment.

• Contractor and part-time engagement
• 20, 30, or 40 hours per week
• Three-month initial duration
• Potential extension based on performance and project needs
• Apply through OpenTrain