Mechanical Engineer | Work Remotely
<strong>About The Job<br><br></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br><br><strong>Position:</strong> AI Tutor – Mechanical Engineering Specialist<br><br><strong>Type:</strong> <strong>Full-time<br><br></strong><strong>Compensation:</strong> <strong>$90,000–$200,000/year<br><br></strong><strong>Location:</strong> <strong>Based in Palo Alto, CA (in-office, 5 days per week) or fully Remote<br><br></strong><strong>Commitment:</strong> <strong>Typical hours: 9:00am–5:30pm PST during training, then aligned with your local timezone<br><br></strong><strong>Role Responsibilities<br><br></strong><ul><li>Use proprietary tools to label, annotate, and evaluate AI-generated data related to mechanical engineering.</li><li>Provide expert feedback on technical problems and ensure the delivery of high-quality, curated datasets.</li><li>Collaborate with research and engineering teams to refine annotation tools and data collection methods.</li><li>Interpret evolving instructions accurately and apply sound professional judgment.</li><li>Contribute to AI model improvement through rigorous analysis and expert input.<br><br></li></ul><strong>Qualifications<br><br></strong><strong>Must-Have<br><br></strong><ul><li>Master’s or PhD in Mechanical Engineering or a closely related field.</li><li>Strong ability to read and write both formal and informal English.</li><li>Skilled in using online databases, research tools, and technical resources.</li><li>Excellent communication, analytical, and organizational skills.</li><li>Ability to work independently and make well-reasoned decisions with limited guidance.</li><li>Demonstrated passion for technology, innovation, and scientific advancement.<br><br></li></ul><strong>Preferred<br><br></strong><ul><li>PhD in Mechanical Engineering with substantial professional or research experience.</li><li>At least one publication in a recognized scientific or engineering journal.</li><li>Teaching or tutoring experience in engineering or technical subjects.</li><li>Prior experience in AI data annotation or technical writing.</li><li>Professional background as a mechanical engineer.<br><br></li></ul><strong>Compensation & Legal<br><br></strong><ul><li>Competitive pay ranging from $90,000 to $200,000 annually for U.S.-based professionals, depending on experience and location.</li><li>Access to medical benefits, subject to your country of residence.<br><br></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br><br></strong><ul><li>Submit your resume.</li><li>Complete a 20-minute introductory interview.</li><li>Selected candidates will move on to a focused mechanical engineering data evaluation exercise.</li><li>Finalists will participate in a team discussion and review of their expertise.</li><li>The full process typically concludes within one week.<br><br></li></ul><strong>Resources & Support<br><br></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>For any help or support, reach out to: support@mercor.com<br><br></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.<br><br></em>,<br><br>