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