Remote Shipping, Receiving and Inventory Clerks (Manufacturing)

Turing Enterprises, Inc.; Seattle (WA); Remote; USD 34,000 - 55,000; Part time

Benefits offered by this job

Fully remote work

Contractor assignment

1-month duration

Possible extension

Job summary

Turing is seeking candidates with strong experience in logistics, manufacturing, and inventory management for freelance roles supporting AI research in supply chain optimization and factory-to-warehouse coordination.

You will design real-world manufacturing logistics scenarios, write clear explanations of inventory flow, and evaluate AI responses for accuracy. Roles are remote contractor assignments, approx. 1 month with potential extension.

Qualifications

• 4+ years of experience in shipping, inventory coordination, or warehouse operations.
• Experience in manufacturing, production logistics.
• Familiarity with ERP/MRP systems (SAP, Oracle, NetSuite) and standard logistics docs.
• Strong English communication and workflow documentation skills.

Responsibilities

• Design and solve real-world manufacturing logistics and warehouse management scenarios to test AI reasoning.
• Write clear, structured explanations covering inventory tracking, material flow, order fulfillment, and shipment scheduling.
• Evaluate AI responses for accuracy, clarity, and operational understanding.
• Collaborate with researchers to refine AI comprehension of factory-to-warehouse coordination and raw material control processes.

Skills

Shipping logistics

Inventory coordination

Warehouse operations

ERP/MRP familiarity

English communication

Workflow documentation

Tools

SAP

Oracle

NetSuite

Job description

Turing is looking for candidates with strong experience in logistics, manufacturing, and inventory management, particularly at the level expected for shipping or inventory clerks managing warehouse operations, materials handling, or production logistics in manufacturing environments.

Role Overview:

• In this role, you will contribute to projects that help evaluate and enhance AI systems using your supply chain and production coordination expertise.
• No prior AI experience is required.
• These projects will help you explore how AI can be used to improve supply chain visibility, process accuracy, and data-driven decision-making across manufacturing and warehouse operations.

What does day-to-day look like:

• Design and solve real-world manufacturing logistics and warehouse management scenarios to test AI reasoning.
• Write clear, structured explanations covering inventory tracking, material flow, order fulfillment, and shipment scheduling.
• Evaluate AI responses for accuracy, clarity, and operational understanding.
• Collaborate with researchers to refine AI comprehension of factory-to-warehouse coordination and raw material control processes.

Requirements:

• 4+ years of experience as a Shipping Clerk, Inventory Coordinator, or Warehouse Associate in manufacturing, production, or industrial logistics.
• Familiarity with ERP or MRP systems (e.g., SAP, Oracle, NetSuite) and standard logistics documentation.
• Comfortable using web-based tools for data review and annotation.
• Strong English communication and workflow documentation skills.

Perks of freelancing with Turing:

• Strong compensation (exact amount varies by project).
• Fully remote work environment.
• Engagement type: Contractor assignment/freelancer, potentially full-time.
• Duration of projects: approximately 1 month, with the possibility for extension.

What Turing is NOT seeking from your expertise:

• Confidential or proprietary information from any employer, university, etc.
• Trade secrets or internal company or university data.
• Specific client information or case details.
• Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.