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Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. 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. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. 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. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Mechanical Engineer - AI Trainer
Location
United States
Posted
17 days ago
Salary
$100 / hour
Seniority
Mid Level
Job Description
Mechanical Engineer - AI Trainer
Mercor
Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Experienced - Mechanical Engineers Type: Contract Compensation: $100/hour Location: Remote Duration: 3–4 weeks Commitment: 10–20+ hours/week Role Responsibilities - Diagnose and solve real issues in mechanical engineering to support AI lab research. - Create tasks and deliverables for common requests within your domain. - Contribute expertise to advance machine learning systems. - Work independently and asynchronously to meet deadlines. - Collaborate with AI research teams to enhance research infrastructure. Qualifications - Must-Have Bachelor's degree from an accredited institution. - PhD or 4+ years of experience. - Excellent written communication with strong grammar and spelling skills. Requirements - Start Date: Immediately Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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