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.
Logistics Professional - AI Trainer
Location
United States
Posted
2 days ago
Salary
$1.2K - $1.5K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Logistics Professional - AI Trainer
Mercor
Role Description - Build a realistic digital workspace centered on the Drive folders you use daily. Include S&OP decks, network-design models, carrier RFPs, inventory reports, and more. - Design multi-step tasks grounded in real workflows. Require navigating multiple apps, files, and stakeholders to challenge frontier AI agents. - Collaborate with other supply-chain and logistics experts to design the environment, shape task scope, and review scenarios for realism and rigor. - Work asynchronously with research teams to refine task designs and evaluation criteria for supply-chain agent benchmarks. - Contribute to frontier AI research and benchmarking. Your work directly informs how leading labs train and evaluate the next generation of AI systems. Qualifications - Must-Have: 3+ years of full-time experience at a Fortune 500 retailer, manufacturer, 3PL, or large carrier. - Background in demand/supply planning, transportation management, warehouse operations, or procurement/sourcing. - Day-to-day use of Manhattan Associates WMS, Blue Yonder, SAP S/4HANA, and Tableau/Power BI. - Strong analytical thinking and writing skills. - Preferred: Certifications such as APICS CPIM/CSCP/CLTD. Requirements - Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change). - Performance Bonus: Top performers receive a weekly bonus incentive. - Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput. 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 Details - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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