Logistics & Field Ops SME

About this role

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: In this role, you will work on cutting-edge initiatives to fine-tune large language models by grounding advanced logistics and supply chain domain logic. The ideal candidate possesses extensive experience in field operations and fleet dispatch—spanning route scheduling, driver/technician assignment, inventory management, and cost-per-mile optimization—along with the ability to translate operational constraints into deterministic spreadsheet logic. You will play a direct role in evaluating and refining AI-generated tools, ensuring outputs match professional logistics standards. Requirements: Core Experience: 5+ years in logistics, fleet dispatch, supply chain management, or field-service operations. Domain Expertise: Deep, hands-on familiarity with routing and scheduling, driver assignment rules, shipment tracking, and key delivery cost metrics (e.g., SLA adherence, cost-per-mile vs. cost-per-stop). Writing & Logic Translation: Strong, concise professional writing skills with a proven ability to translate complex dispatch rules into deterministic spreadsheet formulas, capacity constraints, and data validation structures. Analytical Thinking: Strong problem-solving capabilities to construct, evaluate, and calibrate routing workflows and inventory management frameworks. Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup. Responsibilities: In this role, you will serve as the logistics and operations expert setting the quality benchmark for supply chain AI applications. Your day-to-day responsibilities will include: Authoring Skills & Guardrails: Defining discovery parameters (fleet size, service area, time windows, capacity limits) and operational guardrails (driver hours-of-service compliance, weight/volume constraints, delivery SLAs) for AI builders and canvases. Context & Interview Co-Design: Co-designing interview workflows and validating context files, including dispatch logs, driver rosters, and shipment manifests. Grounding Golden Assets: Verifying routing and assignment logic, SLA and cost formulas, and validation lists across flagship recipes like route planners, work order managers, and vendor trackers. Quality Sign-Off: Reviewing and signing off on AI-generated outputs to ensure complete alignment with professional logistics and field-ops practices. 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: 40 hours per week with 8 hours of overlap with PST. Engagement type: Contractor Engagement Length: upto 10 weeks Availability: Talent must have weekend on-call availability (part-time engagement is acceptable). Evaluation Process - Shortlisted candidates will be sent a Job Interest Form . Finalized talents will go through delivery interview & proceeded further accordingly.