Mercor
Oct 25, 2025 - Mercor is hiring a remote Mechanical Engineering Tutor.
Salary: $90,000 - $200,000 usd yearly. Location: USA.
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
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Salary: $90,000 - $200,000 usd yearly. Location: USA.
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
#J-18808-Ljbffr