Logistics and Supply Chain Study Participant
Job Description
Key Skills Required
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What We're Researching
We're running a paid study on the strategies organizations use to negotiate parcel shipping agreements. Carrier allocation and contract terms have a massive impact on supply chain efficiency, and we want to understand the decision-making process behind these choices. Your insights will help us map the current landscape of logistics partnerships.
How It Works
You will join a remote video interview to walk us through your approach to managing shipping logistics. We will ask you to detail how your organization negotiates contracts and allocates package volume among various carriers. You will discuss the primary factors that influence your carrier selection, including pricing, reliability, and service level agreements. The conversation will focus entirely on your professional methodology and past experiences managing these operational challenges.
Who This Is For
We welcome logistics managers, supply chain directors, and procurement specialists who actively oversee shipping operations. You should have direct experience negotiating contracts with major parcel carriers and managing outbound volume distribution. Candidates with a background in e-commerce fulfillment, enterprise shipping, or global logistics are highly encouraged to apply.
What You'll Do
- Describe how your organization negotiates parcel shipping contracts
- Explain your methodology for allocating package volume across different carriers
- Walk us through the metrics you use to evaluate carrier performance
- Share recent experiences adapting to changing shipping costs or capacity constraints
Who Should Apply
- Active role in supply chain, logistics, or procurement management
- Direct involvement in negotiating contracts with parcel shipping carriers
- Familiarity with enterprise package volume allocation
- Comfortable discussing operational strategies in a remote interview setting
Compensation
$133 one-time
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
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Terac
View Company ProfileTerac is an elite, enterprise-grade AI-native market research and expert data orchestration platform engineered to operate as the definitive, high-velocity infrastructure layer connecting frontier AI models and enterprise product teams with on-demand human expertise. Operating as a mission-critical "intelligence infrastructure layer" for the modern data economy, the company eliminates the severe operational friction of traditional qualitative researchâwhich frequently suffers from slow participant sourcing, manual scheduling bottlenecks, and multi-week analysis cyclesâby deploying automated, voice-based AI agents capable of conducting natural, personalized interviews with hundreds of participants simultaneously. Moving far beyond rigid legacy survey tools, Terac serves a dual purpose: it acts as a scalable consumer insights engine for product teams and a highly vetted marketplace for the human data economy, allowing frontier AI labs and research institutions to instantly tap into specialized, high-stakes human judgment for model evaluation and RLHF. Under the hood, their sophisticated proprietary validation infrastructureâbacked by top-tier venture capitalânatively handles automated participant recruitment, strict quality-control vetting, smart routing, multi-region payouts, and immediate programmatic synthesis of unstructured conversation into structured, actionable data graphs. What sets Terac apart is its uncompromising dedication to shifting how humans and AI collaborate at scale; by bridging the gap between performance-intensive, data-hungry enterprise workflows and accessible, flexible expert panels, the firm enables global technology organizations to radically accelerate their product-market loops, eliminate data engineering bottlenecks, and build an unassailable foundation for continuous model and product alignment.
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