Mechanical Engineering Tutor

1. Role Overview

Mercor is partnering with a leading AI research organization to engage professionals with advanced expertise in mechanical engineering. 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.

You will 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.

2. Key Responsibilities

• 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

3. Ideal 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

4. Preferred Background

• PhD in Mechanical Engineering with substantial professional or research experience
• At least one publication in a recognized scientific or engineering journal
• Teaching or tutoring experience in engineering or technical subjects
• Prior experience in AI data annotation or technical writing
• Professional background as a mechanical engineer

5. 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

6. 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

7. 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

8. About Mercor

Mercor is based in San Francisco, CA and specializes in recruiting experts for top AI labs. Our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.