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. As an

AI Tutor – Applied Math Specialist

, you will play a key role in advancing the development of advanced AI models by providing high-quality inputs, labels, and annotations using specialized software.

• 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.

Key Responsibilities

• 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 (there is a separate position for pure 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: 9:00am–5:30pm 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-time 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.