Computational Mathematics AI Problem Author

About OpenTrain

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OpenTrain AI is recruiting for this fully remote contractor assignment in computational mathematics and scientific AI evaluation.

About AI Training Work

AI training is the human side of building artificial intelligence. Modern language models learn from carefully prepared examples, expert-written problems, reviewed solutions, and structured evaluations. Specialists in mathematics and programming help improve the accuracy, reasoning, and reliability of these systems.

• Work on cutting-edge AI training and evaluation
• Contribute specialized mathematical and scientific expertise
• Complete work remotely with a flexible part-time commitment
• Build experience that can support a longer-term AI training portfolio

The Role

As a Computational Mathematics AI Problem Author, you will create and solve challenging research-grade and graduate-level problems for advanced language model training and evaluation. The work combines mathematical problem design, Python-based scientific programming, and structured quality review.

You will be expected to maintain rigorous standards for mathematical accuracy, logical coherence, solution reliability, and clear technical documentation.

• Fully remote contractor assignment
• Planned duration of three months
• Choose a commitment of 20, 30, or 40 hours per week
• Work at least four hours per day
• Maintain at least four hours of overlap with Pacific Time
• Continued work may be possible based on project needs and performance

What You'll Do

You will develop original computational mathematics content and assess the quality of problems and solutions through a structured two-tier review process. Feedback from reviewers and team leads will help you refine the content and strengthen its consistency.

• Develop original research-grade and graduate-level computational mathematics problems
• Create elegant and accurate solutions using Python and scientific coding methods
• Define problem categories, secondary tags, and appropriate difficulty levels
• Participate in two-tier reviews of problems and solutions
• Assess mathematical accuracy, reasoning quality, and solution reliability
• Incorporate feedback from reviewers and team leads
• Document solutions clearly for technical review and collaboration

Requirements

This assignment is designed for a computational mathematics specialist with advanced scientific programming ability and evidence of research-level mathematical work. Strong analytical reasoning and careful attention to accuracy are essential.

• PhD or current PhD candidacy in computational mathematics
• At least one published peer-reviewed paper
• Advanced Python programming ability for scientific computing
• Ability to design rigorous graduate-level mathematical problems
• Ability to validate computational solutions for accuracy and logical coherence
• Strong analytical, logical thinking, and quantitative problem-solving skills
• Clear written and verbal communication
• Ability to produce clear technical documentation and collaborate constructively with reviewers

Helpful Background

Experience developing rigorous mathematical problems, validating computational reasoning, or reviewing technical research content is useful for this assignment. Familiarity with defining structured categories and difficulty levels can also support consistent evaluation work.

Build Your AI Training Career

OpenTrain brings together opportunities to help people start and grow careers in AI training and data labeling. Your work on mathematical problem authoring and evaluation can become part of a professional profile that demonstrates specialized experience shaping how advanced AI systems reason.

• Create an OpenTrain account for free
• Build a profile around your mathematical and technical expertise
• Apply to AI training opportunities in minutes
• Develop a portfolio of work across a fast-growing AI industry