AI Training for Mathematics (Freelance, Remote)

Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.

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 Day to Day

• 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.

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, have 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 (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.