You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced pure math topics to boost performance.

Key responsibilities include:

• Using proprietary software applications to provide input/labels on defined projects.
• Supporting and ensuring the delivery of high-quality curated data.
• Playing a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interacting with the technical staff to help improve the design of efficient annotation tools.
• Choosing problems from pure math subdomains that align with your expertise, focusing on areas like abstract algebra, real/complex analysis, topology, graph theory, and so on where you can confidently provide detailed solutions and evaluate model responses.

To succeed in this role, you'll need:

• A Master's or PhD in Mathematics with a specialization in a subdomain of pure mathematics, or a medal in an International Math Olympiad (IMO) or similar level math competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organizational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material.

Preferred skills and experience include:

• Math PhD with a specialization in a subdomain of pure mathematics.
• Peer-reviewed pure math publications in well-regarded journals.
• Previous AI Tutoring experience and/or experience teaching college courses.

As a remote worker, you'll have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. Compensation ranges from $45/hour to $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. Benefits vary based on employment type, location, and jurisdiction.

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