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AI Training for Mathematics (College Degree Required)

Alignerr

East Midlands

Remote

GBP 60,000 - 80,000

Full time

2 days ago
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Job summary

Join a forward-thinking company as an AI Tutor in Mathematics, where your expertise will help shape the future of artificial intelligence. In this remote freelance role, you'll label and annotate complex mathematical data, ensuring AI systems can understand and solve problems with human-level accuracy. Your contributions will be vital in developing comprehensive training datasets and enhancing AI models. If you're passionate about mathematics and eager to work independently while making a significant impact, this opportunity is perfect for you.

Qualifications

  • Strong foundation in mathematics with ability to solve complex problems.
  • Excellent written and verbal communication skills.

Responsibilities

  • Accurately label and categorize mathematical expressions and problems.
  • Analyze AI-generated solutions to improve model accuracy.

Skills

Analytical Skills
Problem-Solving
Attention to Detail
Mathematical Understanding

Education

Bachelor's Degree in Mathematics
Master's Degree in Mathematics
PhD in Mathematics

Job description

About the Role

As an AI Tutor, Mathematics, you will play a crucial role in advancing the capabilities of cutting-edge artificial intelligence. Your expertise will be leveraged to label and annotate complex mathematical data, providing the foundation for training and refining AI models. You will work on projects involving a wide range of mathematical concepts, ensuring that AI systems can understand, interpret, and solve problems with human-level accuracy. This is a project-based, remote freelance role.

Your Responsibilities

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

About You

We are seeking highly motivated individuals with a strong foundation in mathematics and a passion for shaping the future of AI. You should be comfortable working independently, possess excellent analytical skills, and be detail-oriented. We have three levels of expertise for this role:

  • 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, and discrete mathematics. Familiarity with mathematical model building and basic game theory.
  • 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 concepts clearly.

General Requirements for All Levels

  • Excellent problem-solving skills and analytical thinking.
  • Strong attention to detail and commitment to accuracy.
  • Ability to work independently and manage time effectively.
  • Excellent written and verbal communication skills.

Compensation: Pay ranges from $15 to $150 USD per hour.

Work Environment

Excel in a remote-friendly hybrid model. While embracing remote work, we focus on collaboration within our tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We promote asynchronous communication, autonomy, and ownership of tasks, complemented by hub-based gatherings.

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