Supply Chain & Logistics Expert at Turing

Supply Chain / Logistics Expert (APAC/MEA) | Contractor | 9-Week Engagement | Worldwide Remote

Turing is seeking an experienced Supply Chain & Logistics Expert to contribute to a frontier AI data initiative. In this role, you will design, evaluate, and refine realistic supply chain tasks that help improve the reliability and usefulness of frontier AI agents in digital-corporate environments. This is a short-term contractor engagement requiring at least 4 hours per day (up to 40 hours/week) with 4 hours of overlap with PST.

About Turing

Turing is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing partners with leading AI labs to advance frontier model capabilities and builds real-world AI solutions for mission-critical business challenges.

Role Overview

Experts will work within a simulated digital-corporate environment — including access to ERP/WMS/TMS platforms, inventory databases, demand forecasts, freight manifests, and cross-functional communications — to author long-horizon tasks that test AI agents on supply chain planning, logistics execution, and operational decision-making.

Key Responsibilities

• Identify and document representative Supply Chain and Logistics workflows suitable for long-horizon AI task development.
• Author realistic task scenarios covering S&OP alignment, inventory planning, demand forecasting, distribution logistics, and carrier optimization.
• Produce expert tasks and gold-standard solutions that meet quality standards, incorporating calibration feedback from senior reviewers.
• Define task context, required data inputs, expected deliverables (e.g., S&OP models, inventory policies, routing plans), and evaluation criteria.
• 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 and provide actionable feedback on realism and rubric coverage.

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, including quantitative metrics, inventory models, and operational data.
• Proven experience producing professional supply chain deliverables such as S&OP decks, demand/supply forecasts, inventory health reports, and freight routing matrices.
• Solid understanding of end-to-end supply chain mechanics: inventory control, carrier management, distribution networks, lead-time management, and bottleneck resolution.
• Familiarity with ERP, WMS, TMS, Excel, or Google Sheets for modeling trade-offs and solving logistical challenges.
• Experience writing high-quality prompts, complex operational scenarios, and structured evaluation rubrics for AI training tasks is strongly preferred.

Education & Experience

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

Engagement Details

• Type: Contractor
• Duration: 9 weeks
• Commitment: At least 4 hours/day, up to 40 hours/week, with 4 hours of overlap with PST

Evaluation Process

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