Mercor · Finance & specialist
Mechanical Engineering Expert - review AI outputs in your specialty
Listed on Mercor as “Mechanical Engineering Expert”
What this actually is
You bring your specialist expertise to AI evaluation. The shape of the work varies but the pattern is the same: review outputs, rate quality, write prompts, flag errors. The platform title (Mechanical Engineering Expert) reflects the rate band and the expertise required, not the day-to-day work.
Can you do this on your visa?
F-2 / F-4 / F-5 / F-6: open. E-1 to E-7: needs concurrent-employment permit. D-2 / D-4 students: S-3 permit, 20 hr/week cap. D-10 / D-8: case by case.
Korean tax on USD income
First 5 years in Korea: foreign-source income only taxed if remitted into Korea. After year 5: worldwide income. Full tax guide.
Original posting from Mercor
Join a growing network of industry experts supporting AI research and development.
Overview
We're building a select group of experienced mechanical engineers to help evaluate and improve how AI systems understand and reason about mechanical engineering topics. You'll bring your real-world expertise to review content for accuracy, answer domain-specific questions, and share feedback that helps make AI tools more reliable and useful in mechanical engineering contexts.
This is a flexible, part-time engagement - approximately 10 hours per week, fully remote, with the opportunity to continue and grow over time.
What You'll Do
- Review and evaluate written content and AI-generated responses in your area of mechanical engineering expertise for accuracy and quality.
- Answer questions and provide clear, well-reasoned feedback based on your professional experience.
- Help identify useful reference material relevant to your field.
- Share insight into how mechanical engineers actually work - the tools, workflows, and standards you rely on day to day.
- Collaborate with a small group of other subject-matter experts across different fields.
What We're Looking For
- Degree-qualified mechanical engineer holding a Professional Engineer (PE) license in the US.
- 2+ years of professional mechanical engineering experience, ideally across more than one area (thermodynamics/HVAC, structural/mechanical design, manufacturing).
- Familiarity with relevant codes and standards (e.g. ASME) and common engineering tools (SolidWorks, ANSYS, AutoCAD, or similar).
- Some experience writing technical documentation, specs, or training material is a plus.
- Comfortable using everyday AI tools (e.g. ChatGPT or similar).
- Based in the United States.
- Professional working English.
- Able to commit reliably to about 10 hours per week.
About Cincinnatus LLC:
Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.
Equal Employment Opportunity:
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.
Quoted from Mercor’s public listing on 2026-08-04. We don’t edit platform copy; honest framing is in the title and the “what this actually is” block above.
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About Mercor
AI-interview-based talent network. One application, voice interview with their AI, then matched to projects across coding, research, and specialist work. Pay scales with track and seniority.
Mercor review: AI-interview talent network
4.1/5 on Glassdoor, fastest-growing platform in the category (+509% YoY). What the AI video interview actually asks, real pay across coding/research/medical/legal/finance tracks ($25-$200/hr), and the project-availability problem.
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