Supply Chain / Logistics Expert (APAC/MEA)

About Turing  
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Role Overview

We are seeking a Supply Chain & Logistics Expert for a frontier AI data initiative. Experts will design, evaluate, and refine realistic tasks to improve the reliability and usefulness of frontier AI agents within a digital-corporate setting (think: access to ERP/WMS/TMS platforms, inventory databases, demand forecasts, freight manifests, Slack, E-mail, and cross-functional communications). Experts will work with real-world supply chain datasets to write long-horizon tasks that test requirements interpretation, Sales and Operations Planning (S&OP), demand forecasting, inventory optimization, route planning, and logistics execution.

Requirements

• 3–8 years of hands-on experience in Supply Chain Management, Logistics, Operations, or Demand/Supply Planning.
• Strong background in supply chain planning and analytics, with demonstrated experience working with quantitative metrics, inventory models, and operational data.
• Proven experience producing professional supply chain deliverables, including S&OP decks, demand/supply forecasts, inventory health reports, warehouse capacity plans, and freight routing matrices.
• Solid understanding of end-to-end supply chain mechanics, including inventory control, carrier management, distribution networks, lead-time management, and operational bottleneck resolution.
• Demonstrated ability to write high-quality prompts, complex operational scenarios, and structured evaluation rubrics for AI training tasks is strongly preferred.
• Familiarity with using data analytics or supply chain software (ERP, WMS, TMS, Excel/Google Sheets) to model trade-offs and solve logistical challenges.

Responsibilities

• Identify and document representative Supply Chain and Logistics workflows suitable for long-horizon AI task development.
• Author realistic task scenarios involving S&OP alignment, inventory planning, demand forecasting, distribution logistics, and carrier optimization.
• Produce expert tasks and gold-standard solutions that meet the pod's quality bar, working under senior review and incorporating calibration feedback.
• Define task context, required data inputs, expected deliverables (e.g., S&OP models, inventory policies, routing plans), and evaluation criteria based on Functional SME Lead standards.
• Prepare reference artifacts, data tables, calculation sheets, and detailed rubrics to grade task accuracy and decision rationale.
• Validate that assigned tasks can be solved using available tools and datasets without relying on unsupported external assumptions.
• Review task implementations, provide actionable feedback on realism and rubric coverage, and deliver work aligned with project milestones.

Education & Experience

• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details:

• Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
• Engagement type: Contractor
• Engagement Length:  9 weeks

Evaluation Process -

• Shortlisted candidates will be sent a Job Interest Form.
• Final selected candidates will be contacted with the next steps and onboarding requirements.