Operations / Supply Chain SME

Turing; United States; Remote; USD 33,062,000 - 49,594,000; Full time

Benefits offered by this job

40 hours/week with overlap PST

Contractor engagement

Up to 10 weeks engagement

Weekend on-call availability

Job summary

Turing is seeking a logistics and operations expert to fine-tune large language model outputs by grounding domain logic in field operations, including routing, scheduling, and inventory considerations. You will translate dispatch rules into deterministic spreadsheet logic and contribute to cost-per-mile and SLA metric evaluations.

The role is a remote contractor position with 40 hours per week, requiring overlap with PST and a commitment of up to 10 weeks.

Qualifications

• 5+ years in logistics, fleet dispatch, supply chain management, or field-service operations.
• Deep familiarity with routing and scheduling, driver assignment rules, shipment tracking, and delivery cost metrics (SLA adherence, cost-per-mile vs. cost-per-stop).
• Strong, concise professional writing skills with ability to translate complex dispatch rules into deterministic spreadsheet formulas, capacity constraints, and data validation structures.

Responsibilities

• Define discovery parameters (fleet size, service area, time windows, capacity limits) and operational guardrails for AI builders and canvases.
• Co-design interview workflows and validate context files, including dispatch logs, driver rosters, and shipment manifests.
• Verify routing and assignment logic, SLA and cost formulas, and validation lists across flagship recipes.
• Review AI-generated outputs to ensure complete alignment with professional logistics and field-ops practices.

Skills

Logistics experience

Routing & scheduling

Spreadsheet formulas

Analytical thinking

Remote work setup

Education

Bachelor's degree

Tools

Spreadsheet software

Job description

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.