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
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