Project Overview:

We are seeking a skilled supply chain technology and data systems practitioner to work as a project consultant in our AI Labor Marketplace. This is not a full-time employment position – you will be engaged as an expert project consultant on a contract basis.

Location: U.S.-based experts only

Engagement: Part-time, project-based expert evaluation work

Work Type: Remote

You will evaluate AI-generated responses to scenarios involving supply-chain operations, data flows (WMS/ERP), IoT/RFID/GPS telemetry, forecasting logic, dashboards/KPIs, and foundational security/privacy concepts. The work involves creating structured, weighted rubrics and identifying strengths, weaknesses, and gaps in technical reasoning.

This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based upon anticipated time of completion. Consultants will control their own schedule, provide their own tools to perform the work, and are free to simultaneously provide services to other vendors and employers to the extent permitted by those vendors and employers.

Responsibilities

Contributors will:

• Review AI-generated responses to supply-chain, data-platform, analytics, and security/privacy scenarios.
• Create 20+ weighted evaluation criteria per task and score model responses using these rubrics.
• Identify gaps, inaccuracies, missing assumptions, or unclear reasoning.
• Draft 3–5 domain-informed follow-up questions for each prompt.
• Reference authoritative sources (e.g., NIST summaries, GDPR text, GS1, SCOR, industry white papers).
• Deliver clear, structured written evaluations aligned with project guidelines.

Expected Outcomes

• High-quality, objective rubrics that reflect domain standards and operational realism.
• Accurate, well-reasoned evaluations that help improve AI performance across supply-chain and data/security domains.

Qualifications

• 5–8+ years of experience in supply-chain operations, supply-chain technology, analytics, data/BI systems, or security/privacy.
• Working knowledge of WMS/ERP data flows, IoT/RFID/GPS concepts, dashboards/KPIs, and fundamental security/privacy practices (IAM, encryption basics, retention, DLP).
• Strong analytical writing skills and the ability to evaluate technical explanations for accuracy and completeness.
• Comfortable working independently, producing structured rubrics, and identifying domain-specific gaps.
• Architect-level experience (10–15+ years) is welcome for more advanced evaluation tasks but not required for most assignments.