Manufacturing - Supply Chain & Logistics Expert
**Role Overview**
Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced supply-chain and logistics professionals from **Fortune 500 retailers, manufacturers, 3PLs, and carriers** (e.g., Amazon, Walmart, Target, UPS, FedEx, DHL, J.B. Hunt, C.H. Robinson, XPO) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI.
You'll bring your expertise in demand / supply planning, transportation, warehousing, or sourcing to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a large supply-chain operation — and then author tasks grounded in the programs you actually run today.
• *Key Responsibilities**
- Build a realistic digital workspace centered on the Drive folders you use day-to-day — the S&OP decks, network-design models, carrier RFPs, inventory reports, DC performance dashboards, sourcing strategies, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Manhattan Associates WMS or Blue Yonder, SAP S/4HANA, Power BI)
- Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents
- Collaborate with other supply-chain and logistics experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor
- Work asynchronously with research teams to refine task designs and evaluation criteria for supply-chain agent benchmarks
- Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems
• *Ideal Qualifications**
- 3+ years of full-time experience at a **Fortune 500 retailer, manufacturer, 3PL, or large carrier**
- Background in one or more areas such as:
- Demand / supply planning and S&OP / IBP
- Transportation management, carrier sourcing, or network design
- Warehouse operations, DC management, or WMS / labor planning
- Procurement / sourcing / supplier management
- Global trade, customs, or international logistics
- Certifications a plus: APICS CPIM / CSCP / CLTD
- Day-to-day use of Manhattan Associates WMS / Blue Yonder, SAP S/4HANA, and Tableau / Power BI
- Strong analytical thinking and writing — able to translate supply-chain workflows into structured task specs
• *Compensation Note**
- **Task Completion Pay:** Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)
- **Performance Bonus:** Top performers receive a weekly bonus incentive on top of their per task rate!
- **Hourly Opportunity:** Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.
Apply tot his job
Apply To this Job
Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced supply-chain and logistics professionals from **Fortune 500 retailers, manufacturers, 3PLs, and carriers** (e.g., Amazon, Walmart, Target, UPS, FedEx, DHL, J.B. Hunt, C.H. Robinson, XPO) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI.
You'll bring your expertise in demand / supply planning, transportation, warehousing, or sourcing to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a large supply-chain operation — and then author tasks grounded in the programs you actually run today.
• *Key Responsibilities**
- Build a realistic digital workspace centered on the Drive folders you use day-to-day — the S&OP decks, network-design models, carrier RFPs, inventory reports, DC performance dashboards, sourcing strategies, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Manhattan Associates WMS or Blue Yonder, SAP S/4HANA, Power BI)
- Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents
- Collaborate with other supply-chain and logistics experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor
- Work asynchronously with research teams to refine task designs and evaluation criteria for supply-chain agent benchmarks
- Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems
• *Ideal Qualifications**
- 3+ years of full-time experience at a **Fortune 500 retailer, manufacturer, 3PL, or large carrier**
- Background in one or more areas such as:
- Demand / supply planning and S&OP / IBP
- Transportation management, carrier sourcing, or network design
- Warehouse operations, DC management, or WMS / labor planning
- Procurement / sourcing / supplier management
- Global trade, customs, or international logistics
- Certifications a plus: APICS CPIM / CSCP / CLTD
- Day-to-day use of Manhattan Associates WMS / Blue Yonder, SAP S/4HANA, and Tableau / Power BI
- Strong analytical thinking and writing — able to translate supply-chain workflows into structured task specs
• *Compensation Note**
- **Task Completion Pay:** Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)
- **Performance Bonus:** Top performers receive a weekly bonus incentive on top of their per task rate!
- **Hourly Opportunity:** Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.
Apply tot his job
Apply To this Job