AI Training for Mathematics (Freelance, Remote)

Level 1 (Bachelor's Level): Strong understanding of arithmetic, algebra, geometry, trigonometry, and basic calculus. Ability to solve math word problems and familiarity with basic probability and statistics. Level 2 (Master's Level): In addition to Level 1 requirements, proficiency in calculus and advanced math concepts like linear algebra, differential equations (ordinary and partial), and discrete mathematics. Familiarity with mathematical model building and basic game theoretic concepts. Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly. Excellent problem-solving skills and analytical thinking ability. Strong attention to detail and a commitment to accuracy. Ability to work independently and manage time effectively. Excellent written and verbal communication skills.

Data annotation: Accurately label and categorize mathematical expressions, equations, proofs, word problems, and other relevant data. Concept mapping: Connect mathematical concepts and establish relationships between different areas of mathematics to help AI models understand the underlying structure of the subject. Problem-solving verification: Analyze AI-generated solutions to mathematical problems, identifying errors and providing feedback to improve model accuracy. Curriculum development: Contribute to the development of comprehensive training datasets that cover a wide range of mathematical concepts and difficulty levels.