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Freelance Supply Chain Consultant - AI Trainer

MindriftRemote — IsraelNew
Remote Contract $50/hr - $50/hr

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Experience Level

Experience

Qualifications

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.

About the job

Mindrift bridges the gap between talented specialists and project-specific AI opportunities with top technology firms, concentrating on the assessment, testing, and enhancement of AI systems. Please note that participation is project-based and does not constitute permanent employment.

Role Overview

As a Procurement & Supply Chain Consultant, you will leverage your extensive expertise to create authentic disruption scenarios, outline anticipated outcomes and mitigation strategies, and assess AI-generated recommendations for accuracy and business relevance.

Key Responsibilities

Projects may involve unique tasks such as:

  • Crafting realistic supply chain disruption scenarios (e.g., supplier delays, quantity adjustments, logistical complications, quality failures) based on actual manufacturing and procurement practices.
  • Establishing expected results and effective mitigation strategies for each scenario.
  • Reviewing AI-generated suggestions against practical business logic.
  • Evaluating outputs for precision, thoroughness, and relevance within ERP systems (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)).
  • Assisting in structured data creation and validation tasks according to specific guidelines and frameworks.

Qualifications Required

  • At least 4 years of practical experience in procurement, supply chain, or purchasing, preferably within a manufacturing setting.
  • In-depth understanding of procurement workflows, including 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 develop and analyze supply chain disruption scenarios and corresponding mitigation strategies.
  • Strong comprehension of various types of disruptions: delays, shortages, quality concerns, and logistical challenges.
  • Knowledge of Incoterms and transportation/logistics management.
  • Familiarity with Bill of Materials (BOM) structures and production planning methodologies.
  • Experience in evaluating supplier performance metrics (OTIF, lead times, quality scores).
  • Analytical mindset capable of assessing AI outputs in relation to real-world business logic.
  • Experience with data validation, structured data entry, or annotation tasks.
  • Exceptional written communication skills in English.

Process Overview

Application → Qualification(s) → Project Participation → Task Completion → Compensation

Project Time Expectations

Tasks for this project are anticipated to require approximately 10-20 hours per week during active phases, depending on project demands. This is an estimate and does not guarantee a specific workload during the project duration.

Compensation

Participants in this project can earn up to $50 per hour, contingent upon experience and the specific project requirements.

About Mindrift

Mindrift is dedicated to connecting skilled professionals with dynamic, project-based AI opportunities in leading technology companies, facilitating the testing, evaluation, and enhancement of AI systems.

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