Wholesale Trade Specialist - Freelance AI Trainer Project
About The Position
We are sourcing independent Wholesale Trade Specialists to provide their expertise for an AI benchmark evaluation project. As AI models increasingly generate professional-grade B2B distribution strategies, inventory management workflows, and wholesale pricing models, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce high-quality evaluation tasks, strong prompts, and clear, well-structured rubrics that generate clean, reliable data for model training. Project Deliverables & Scope Operate autonomously to design complex evaluation frameworks and provide structured training data. Expected deliverables include: Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to wholesale trade, B2B distribution, and bulk purchasing agreements. Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score. Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling complex wholesale and logistics-related tasks. Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world B2B market standards, inventory compliance, and supply chain realities.
Requirements
- Demonstrable professional expertise within the wholesale trade, B2B sales, procurement, or distribution management sectors, with a deep understanding of industry standards, wholesale terminology, and supply chain logistics.
- Strong writing and prompt generation skills, with the ability to design highly realistic, complex B2B task scenarios for AI evaluation.
- Proficiency in rubric generation, specifically the ability to create objective, non-ambiguous scoring criteria that leave no room for subjective interpretation.
- A meticulous, detail-oriented approach to fact-checking supplier catalogs, pricing tiers, distribution contracts, and inventory data to generate reliable data for system benchmarking.
Responsibilities
- Task & Prompt Creation: Generating realistic, high-quality prompts that compel the AI model to produce complex, professional-grade deliverables specific to wholesale trade, B2B distribution, and bulk purchasing agreements.
- Rubric Development: Writing clear, well-structured evaluation rubrics with criteria that are highly specific, non-ambiguous, and easy to score.
- Benchmark Evaluation Data Generation: Producing clean, reliable training data that directly aids in the evaluation and refinement of AI models handling complex wholesale and logistics-related tasks.
- Quality Assurance & Fact-Checking: Ensuring all generated tasks and scoring criteria reflect strict, real-world B2B market standards, inventory compliance, and supply chain realities.
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What This Job Offers
Education Level
No Education Listed
Number of Employees
501-1,000 employees
