Computational Mathematics Problem Design AI Trainer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping people discover projects, build their professional profile, and grow in a fast-moving technology field.

• Free account creation and a streamlined application process
• Opportunities to build experience in AI training and evaluation
• Remote contractor work across a growing AI industry

About AI Training Work

AI training is the human side of building artificial intelligence. Contributors create, review, and evaluate examples that help modern AI systems learn to reason, communicate, and solve complex problems. In this role, your mathematical expertise and Python work will support the training and evaluation of frontier AI systems.

• Contribute to cutting-edge generative AI development
• Use specialist knowledge to improve the quality of model training data
• Work remotely with a flexible schedule around the required weekly commitment

The Role

OpenTrain AI is recruiting a freelance Computational Mathematics Problem Design AI Trainer to create and solve original, research-grade or graduate-level scientific problems using Python. You will combine rigorous mathematical problem formulation with accurate solution development and structured peer review.

The role is listed as entry level, but it requires a PhD or PhD candidacy in Computational Mathematics, at least one peer-reviewed publication, and advanced proficiency in Python for scientific coding.

• Design original computational mathematics problems
• Develop solutions that are accurate, reliable, and logically coherent
• Support AI training and evaluation through high-quality scientific content

What You’ll Do

You will be responsible for both the intellectual design of mathematical tasks and the quality assurance process used to validate them. The work includes collaborating with reviewers and team leads and applying feedback to strengthen the final content.

• Conceptualize original research-grade or graduate-level scientific problems
• Write problems involving scientific coding in Python
• Define problem categories and secondary tags
• Assign appropriate difficulty levels
• Solve formulated problems using sound mathematical and scientific principles
• Participate in two-tier reviews of problems and solutions
• Evaluate accuracy, reliability, and logical coherence
• Incorporate feedback from reviewers and team leads

Requirements

This role calls for advanced expertise in computational mathematics, scientific programming, and rigorous problem development. You should be comfortable producing technically precise work and communicating clearly during the review process.

• PhD or PhD Candidate in Computational Mathematics
• At least one peer-reviewed publication
• Advanced proficiency in Python for scientific coding
• Strong analytical and logical problem-solving skills
• Experience with rigorous problem formulation and solution development
• Excellent written and verbal communication skills

Helpful Background

Experience applying computational mathematics in practical or research settings can help you succeed in this work, particularly when developing challenging problems and evaluating algorithmic solutions.

• Experience in mathematical modeling
• Experience in algorithm development

Engagement Details

This is a fully remote, part-time freelance contractor engagement. The initial contract lasts three months, with scheduling options that support a minimum commitment of 20 hours per week.

• Minimum commitment of 20 hours per week
• Options to work 30 or 40 hours per week
• At least 4 hours of overlap with Pacific Standard Time required
• Three-month contract duration
• Potential for extension based on performance and project needs
• Worldwide remote eligibility

Why Work in AI Training

AI training offers a way to apply specialized expertise to the development of state-of-the-art technology. The work is fully remote and can provide flexible, project-based opportunities for people building careers at the intersection of their discipline and artificial intelligence.

• Work from anywhere with a computer and internet connection
• Apply computational mathematics expertise to frontier AI systems
• Build experience in a rapidly growing technology field
• Choose a weekly workload of 20, 30, or 40 hours