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AI Tutor – Industrial and Systems Engineering Specialist 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. Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in industrial and systems engineering. This . full-time opportunity . invites engineers and researchers to help train and refine AI models capable of understanding, analyzing, and optimizing complex systems and workflows. As an . AI Tutor – Industrial and Systems Engineering Specialist . , you will play a key role in advancing the development of AI systems by providing high-quality inputs, annotations, and expert feedback.. Collaborate closely with technical teams to design new AI tasks . Improve annotation tools . Select challenging engineering problems that enhance model reasoning and performance . Requires analytical precision, adaptability, and a strong interest in technology-driven innovation . Qualifications. Master’s or PhD in Industrial Engineering, Systems Engineering, or a closely related field . Strong written and verbal communication skills in both professional and informal English . Skilled in research, data analysis, and using engineering databases and online resources . Excellent analytical, problem-solving, and organizational abilities . Ability to work independently and exercise sound judgment in ambiguous scenarios . Passion for technological progress and AI innovation in engineering applications . Requirements. PhD in Industrial or Systems Engineering with hands-on professional experience in the field . Publications or research contributions in reputable engineering journals . Teaching or tutoring experience in engineering, systems optimization, or applied sciences . Prior work in AI data training, technical writing, or industrial research . Experience with complex, real-world engineering systems and processes . 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 . Compensation & 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 . Application Process. Submit your resume . Complete a 20-minute introductory interview . Selected candidates will move on to a focused engineering data evaluation exercise . Finalists will participate in a team discussion and review of their expertise . The full process typically concludes within one week