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 Senior Supply Chain & Logistics Expert for a frontier AI data initiative. Experts will design, evaluate, and refine high-difficulty tasks to improve the reliability and usefulness of frontier AI agents within complex digital-corporate settings (think: ERP/WMS/TMS systems, network optimization tools, spend & inventory databases, freight manifests, Slack, E-mail, and cross-functional communications). Experts will leverage deep operational expertise to build gold-standard tasks that test advanced Sales and Operations Planning (S&OP), distribution network design, multi-echelon inventory optimization, global freight logistics, and supply chain risk management.

Requirements

8–15 years of hands-on experience in Supply Chain Management, Logistics, Operations, or Global Planning.
APICS/ASCM certifications such as CPIM (Certified in Planning and Inventory Management), CSCP (Certified Supply Chain Professional), or CLTD (Certified in Logistics, Transportation and Distribution) are strongly preferred.
Deep domain expertise in leading S&OP/IBP cycles, supply chain network design, inventory strategy & optimization, and end-to-end distribution logistics.
Proven track record of producing executive-level supply chain deliverables, including network modeling proposals, safety stock policy frameworks, S&OP alignment decks, freight tender evaluations, and disruption contingency plans.
Advanced ability to analyze complex operational data, model end-to-end trade-offs (e.g., service level vs. working capital), identify supply chain bottlenecks, and evaluate both the final artifact and the underlying strategic rationale.
Demonstrated ability to author high-difficulty prompts, complex corporate scenarios, and gold-standard evaluation rubrics for AI models is strongly preferred.

Responsibilities

Author high-difficulty expert tasks and gold-standard solutions covering complex S&OP, network design, inventory optimization, and global distribution.
Review, calibrate, and critique output from team members to enforce quality standards across the pod's deliverables.
Define task context, required data sources, expected deliverables, and rubrics that distinguish exceptional, acceptable, and deficient work.
Verify task feasibility, technical accuracy, and practical realism using provided tools, datasets, and simulated enterprise environments.
Identify and escalate edge cases, rubric ambiguities, or domain edge cases directly to the Functional SME Lead.
Participate in calibration and revision cycles, incorporating feedback to continuously elevate task complexity and operational accuracy.

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: Up to 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.

Turing

Remote Senior Supply Chain / Logistics Expert

About the Job