AI Tutor - Applied Math Specialist

Role Description

Mercor is partnering with a leading AI research group to engage mathematics professionals in a high-impact project focused on training and refining cutting‑edge AI systems.

AI Tutor – Applied Math Specialist will play a key role in advancing the development of advanced AI models by providing high‑quality inputs, labels, and annotations using specialized software.

Key Responsibilities

• Collaborate with technical teams to train models on mathematical reasoning, problem‑solving, and discussions.
• Refine annotation tools.
• Design challenging applied mathematics problems to enhance model performance.
• Contribute data in text, voice, and video formats, including annotations, audio recordings, or video sessions.
• Use proprietary software to label, annotate, and evaluate AI‑generated outputs related to applied mathematics.
• Support the delivery of high‑quality curated data for model training.
• Collaborate with technical staff to train new AI tasks and contribute to the development of innovative tools and technologies.
• Assist in improving the design of efficient annotation and feedback systems.
• Select and solve complex problems from applied mathematics fields such as probability, statistics, numerical analysis, optimization, operations research, dynamical systems, and data modeling.
• Interpret, analyze, and complete assignments based on evolving task instructions with precision and critical thinking.

Qualifications

• Master’s degree or PhD in Mathematics with a specialization in applied mathematics.
• Alternatively, a medal in the International Mathematical Olympiad (IMO) or a similar international math competition.
• Strong proficiency in both informal and professional English communication.
• Excellent analytical, research, and problem‑solving skills.
• Ability to work independently and apply sound judgment with limited guidance.
• Passion for technological innovation and the advancement of applied mathematics in AI development.

Preferred Qualifications

• PhD in Mathematics with a focus on applied mathematics.
• Peer‑reviewed publications in recognized applied math journals.
• Prior experience teaching mathematics or tutoring in academic or AI training contexts.

Requirements

• Location: Palo Alto, CA (in‑office, 5 days/week) or fully remote.
• Schedule: 9:00 am–5:30 pm PST for the first two weeks; then your local timezone thereafter.
• Requirements: Chromebook, Mac (macOS 11+), or Windows 10+ device; reliable smartphone access.
• U.S. applicants: Must reside outside of Wyoming and Illinois.
• Visa sponsorship: Not available.

Compensation & Contract Terms

• $45–100/hour for U.S.-based professionals, depending on experience and location.
• International pay rates available upon request.
• Full‑ role.
• Payments issued regularly for services rendered.
• Hourly pay is part of a broader rewards package; benefits vary by country.

Application Process

• Submit your resume or CV to begin the process.
• Complete a brief screening interview.
• If selected, you may be asked to complete a technical task or annotation exercise relevant to applied mathematics.