Description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

About the role

As a procurement & supply chain expert on this project, you will design realistic disruption scenarios based on your hands-on experience, define expected outcomes and mitigation strategies, and evaluate AI-generated recommendations for accuracy, completeness, and business relevance.

What this opportunity involves

While each project involves unique tasks, contributors may:

• Design realistic supply chain disruption scenarios (e.g. supplier delays, quantity changes, logistics issues, quality failures) grounded in real-world manufacturing and procurement contexts
• Define expected outcomes and appropriate mitigation strategies for each scenario
• Evaluate AI-generated responses and recommendations against real-world business logic
• Assess outputs for accuracy, completeness, and relevance within ERP environments (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP))
• Contribute to structured data creation and validation tasks following defined guidelines and frameworks

What we look for

• Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally in a manufacturing environment
• Strong working knowledge of procurement workflows: purchase orders, vendor management, inventory, and production planning
• Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365
• Proven ability to design and reason through supply chain disruption scenarios and mitigation approaches
• Solid understanding of disruption types: delays, shortages, quality issues, and logistics challenges
• Knowledge of Incoterms and transportation/logistics management
• Familiarity with BOM structures and production planning processes
• Experience with supplier performance metrics (OTIF, lead times, quality scores)
• Analytical mindset with the ability to assess AI outputs against real-world business logic
• Experience with data validation, structured data entry, or annotation tasks
• Clear written communication in English

How it works

Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.