Mathematics Expert Python Research Problem Designer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build experience, and apply in minutes.

• Free OpenTrain account creation
• Remote contractor opportunity
• Part-time schedule of 20 or more hours per week

About AI Training Work

AI training is the human work behind modern artificial intelligence. Experts create, review, and evaluate examples that help AI systems reason more accurately, follow instructions, and produce useful responses.

In this project, your mathematical expertise and Python verification skills will support text generation, evaluation, and fine-tuning data. The work offers a direct opportunity to contribute to cutting-edge AI development.

• Work with computational mathematics content
• Support text generation and evaluation for AI systems
• Use subject-matter expertise to improve model quality

The Mathematics Expert Role

OpenTrain AI is seeking a mathematics expert to design original, computationally intensive, research-style mathematics problems verified in Python. Problems should require non-trivial chains of reasoning and reflect realistic mathematical research workflows.

The subject matter includes number theory, combinatorics, graph theory, and numerical analysis. You will also write clear problem statements and provide fully verified answers with reproducible verification using Python and standard mathematical libraries.

• Expert-level contractor role
• Listed hourly compensation ranges from $15 to $60 USD
• Part-time engagement requiring 20 or more hours per week
• Work is worldwide except for the restricted locations listed below

What You'll Do

You will develop challenging mathematical content that can be used to train and evaluate AI systems. Each submission should be clearly written, mathematically sound, computationally intensive where appropriate, and supported by reproducible Python verification.

• Design original research-style mathematics problems
• Create problems requiring multi-step, non-trivial reasoning
• Cover number theory, combinatorics, graph theory, and numerical analysis
• Write clear and complete problem statements
• Produce fully verified answers
• Use Python and standard mathematical libraries for reproducible verification
• Apply computational and numerical methods
• Review or annotate text as part of the work

Requirements

This role requires advanced mathematical knowledge, practical computational ability, and experience creating or reviewing technical content. Candidates should be able to work independently on research-style computational mathematics problems.

• Bachelor’s degree or higher in Mathematics or a related field
• At least 2 years of relevant professional, research, or teaching experience
• Strong Python skills, including NumPy, SciPy, and SymPy
• Experience with computational and numerical methods
• Knowledge of computational complexity concepts
• Familiarity with research-style computational mathematics problems
• Hands-on text annotation or text review experience
• CV submitted in English
• CV indicating your level of English proficiency
• Application materials including an email address and phone number

Who Should Apply

This opportunity is suited to mathematicians, researchers, instructors, and other experts who enjoy translating sophisticated mathematical reasoning into precise, testable problems. It may be a strong fit for professionals with experience in computational mathematics and Python-based verification.

• Mathematics professionals with research or teaching experience
• Computational mathematicians comfortable writing Python
• Experts who can explain complex solutions clearly
• Candidates able to commit 20 or more hours each week

Location Eligibility

The role is described as worldwide, subject to the following restricted locations. Applicants must confirm that they are not located in any listed country, territory, island, or U.S. state.

• Countries: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, and Kenya
• U.S. states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, and West Virginia
• Territories and locations: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, and Christmas Island
• Territories and locations: Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, and Martinique
• Territories and locations: New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, and Sint Maarten (Dutch part)
• Territories and locations: French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, and Mayotte

How to Apply Through OpenTrain

Create a free OpenTrain account, build your profile, and submit your application through the platform. Include an English-language CV with your English proficiency level, email address, and phone number, and confirm your eligibility based on the location restrictions.

• Review the role requirements and location restrictions
• Create or update your OpenTrain profile
• Upload an English CV with the requested contact details
• Apply through OpenTrain AI