Mercor
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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