AI Tutor, Mathematics

Overview

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. This is a project-based, remote freelance role.

Main Duties

• 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.

• Problem-solving verification: Analyze AI-generated solutions to mathematical problems, identifying errors and providing feedback for improvement.

• Curriculum development: Contribute to the development of comprehensive training datasets covering various mathematical concepts and difficulty levels.

Requirements

We are seeking highly motivated individuals with a strong foundation in mathematics and a passion for shaping the future of AI.

For Levels:

• 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)
  - 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.

For All Levels:

• 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.

Pay Information

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Pay Range: $15—$150 USD per hour

Working Model

Excel in a remote-friendly hybrid model. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.

Your Personal Data Privacy

Any personal information you provide Labelbox as part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution. If uncertain about the legitimacy of any communication, reach out to us at recruiting@labelbox.com for clarification and verification.