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.
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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.
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