AI Tutor – Industrial and Systems Engineering Specialist

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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