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.

Engagement type: Contractor.

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.

• Core Experience: 5+ years in logistics, fleet dispatch, supply chain management, or field-service operations.
• 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.

Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup.

Shortlisted candidates will be sent a Job Interest Form.
Finalized talents will go through delivery interview & proceeded further accordingly.

Work arrangement: Fully remote