Wholesale & Sales Operations AI Training Specialist — Task Creation & Model Evaluation (Contract)

About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including wholesale trade, sales operations, and distribution. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. Job Overview As a Wholesale & Sales Operations AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the wholesale trade domain. This role centers on benchmark task creation and evaluation: you'll author realistic, economically valuable wholesale and sales tasks and rubrics based on your own professional experience, then grade AI-generated deliverables against them. What You'll Do Author realistic task scenarios from your own work — e.g., building a sales performance model, processing and analyzing order data, or preparing a client proposal or account review Contribute the kinds of reference materials you'd normally use (order data, pricing sheets, account spreadsheets) Write rubrics specifying what a correct deliverable requires — accurate calculations, correct file structure, professional formatting Grade AI-generated deliverables (frequently Excel models, with some Word/PowerPoint) against your rubric Participate in calibration sessions with other evaluators to align scoring standards Preferred Qualifications Prior hands-on experience in wholesale sales, account management, distribution, or order/logistics operations Strong Excel skills and comfort with data-heavy deliverables Prior experience with AI model training, evaluation, or benchmark development is a plus