Role Description

Mercor is seeking experienced shipping, receiving, and inventory clerks to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in manufacturing logistics through hands-on scenario creation and validation. It’s an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule.

• Write tasks and scenarios that reflect real-world shipping, receiving, and inventory work in manufacturing based on your professional experience
• Create realistic situations involving shipment processing, receiving inspections, inventory tracking, and warehouse documentation
• Develop scenarios for handling discrepancies, coordinating with carriers, managing stock levels, and using inventory management systems
• Review and evaluate AI responses to logistics and inventory queries for accuracy and industry standards
• Provide detailed feedback on manufacturing logistics scenarios to improve AI training

Qualifications

• 4+ years professional experience as a shipping, receiving, or inventory clerk in manufacturing
• Demonstrated professional recognition and management responsibilities
• Proficient with using computers and navigating various software systems
• Excellent written communication with strong grammar and spelling skills
• Pass video interview, background check, training, and qualification quiz
• Average 14 years experience preferred

Requirements

• Fully remote and asynchronous — complete work on your own schedule
• Expected workload: 20+ hours per week, with flexibility to scale up to 40 hours
• Project start date: immediately, lasting for around 6 weeks

Compensation & Contract Terms

• Independent contractor engagement through Mercor
• Hourly compensation, paid weekly via Stripe Connect
• Payments based on services rendered; contractors maintain full control over their work schedule and methods

Application Process

• Applications reviewed continuously; shortlisted professionals will be contacted for next steps
• Typical response time: within one week of submission