AI Tutor – Industrial and Systems Engineering Specialist
Posted: 2 days ago
Job Description
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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
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