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Mechanical Engineering Tutor at Mercor. Location Information: USA. This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.. Role Description. This full-time position offers a unique opportunity to shape the development of next-generation AI systems by contributing deep technical insight into mechanical principles and applications. As an AI Tutor – Mechanical Engineering Specialist, you will use specialized tools to label and evaluate data, helping train AI models to understand complex mechanical systems, designs, and problem-solving processes.. Collaborate closely with technical teams to refine workflows, design annotation tools, and select challenging engineering problems that enhance AI model performance. . This role is ideal for professionals who thrive in fast-paced environments, adapt quickly to evolving tasks, and are passionate about innovation at the intersection of engineering and artificial intelligence. . Qualifications. Master’s or PhD in Mechanical Engineering or a closely related field . Strong ability to read and write both formal and informal English . Skilled in using online databases, research tools, and technical resources . Excellent communication, analytical, and organizational skills . Ability to work independently and make well-reasoned decisions with limited guidance . Demonstrated passion for technology, innovation, and scientific advancement . Requirements. Use proprietary tools to label, annotate, and evaluate AI-generated data related to mechanical engineering . Provide expert feedback on technical problems and ensure the delivery of high-quality, curated datasets . Collaborate with research and engineering teams to refine annotation tools and data collection methods . Interpret evolving instructions accurately and apply sound professional judgment . Contribute to AI model improvement through rigorous analysis and expert input . Benefits. Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location . For international candidates, compensation ranges are available upon request . Access to medical benefits, subject to your country of residence . Supportive, high-impact environment focused on advancing AI and engineering innovation . Work Environment. Based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-management skills . U.S.-based applicants must reside outside of Wyoming and Illinois . Typical hours: 9:00am–5:30pm PST during training, then aligned with your local timezone . Remote workers must use a personal computer that meets one of the following requirements: a Chromebook, a Mac running macOS 11 or newer, or a Windows PC running Windows 10 or newer . Reliable smartphone access is required . Application Process. Submit your resume . Complete a 20-minute introductory interview . Selected candidates will move on to a focused mechanical engineering data evaluation exercise . Finalists will participate in a team discussion and review of their expertise . The full process typically concludes within one week