Retail Subject Matter Expert - AI Evaluation (US-Remote)
Braintrust, Seattle, Washington, us, 98127
Retail SME – AI Evaluation (US‑Remote)
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We are seeking multiple Retail Subject Matter Experts (SME) to train, evaluate, and fine‑tune AI models for retail use cases (e.g., virtual assistants, demand forecasting, customer insights). The SME ensures domain accuracy, contextual understanding, and alignment with business goals across merchandising, operations, supply chain, store management, and customer experience.
Project is approved for 3 months initially, with possibility to extend based on client demands.
Responsibilities
Act as the retail domain expert during AI training/fine‑tuning to ensure contextual accuracy and industry relevance.
Build retail knowledge bases, taxonomies, and ontologies reflecting standards and best practices.
Annotate/label/validate datasets (e.g., categories, inventory terms, pricing, promotions).
Collaborate with AI/ML teams on data strategies, evaluation metrics, and prompt design for retail apps.
Review model outputs; identify errors, ambiguities, and opportunities to improve reasoning/performance.
Partner with product/analytics to tie AI capabilities to outcomes (sales, demand, engagement).
Track trends in retail tech and AI; propose practical, innovative implementations.
Requirements
Bachelor’s/Master’s in Business, Retail Management, Supply Chain, Data Analytics, or related field.
5+ years of retail experience (merchandising, operations, category management, supply chain, or e‑commerce).
Ability to translate business processes into structured data requirements.
Strong analytical and communication skills for technical and non‑technical audiences.
Experience with AI/ML concepts (annotation, prompt design, model evaluation) preferred.
Familiarity with ERP, POS, CRM, or inventory management systems is a plus.
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Sales, Customer Service, and General Business
Industries
Retail, Retail Apparel and Fashion, Online and Mail Order Retail
Referrals increase your chances of interviewing at Braintrust by 2x.
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We are seeking multiple Retail Subject Matter Experts (SME) to train, evaluate, and fine‑tune AI models for retail use cases (e.g., virtual assistants, demand forecasting, customer insights). The SME ensures domain accuracy, contextual understanding, and alignment with business goals across merchandising, operations, supply chain, store management, and customer experience.
Project is approved for 3 months initially, with possibility to extend based on client demands.
Responsibilities
Act as the retail domain expert during AI training/fine‑tuning to ensure contextual accuracy and industry relevance.
Build retail knowledge bases, taxonomies, and ontologies reflecting standards and best practices.
Annotate/label/validate datasets (e.g., categories, inventory terms, pricing, promotions).
Collaborate with AI/ML teams on data strategies, evaluation metrics, and prompt design for retail apps.
Review model outputs; identify errors, ambiguities, and opportunities to improve reasoning/performance.
Partner with product/analytics to tie AI capabilities to outcomes (sales, demand, engagement).
Track trends in retail tech and AI; propose practical, innovative implementations.
Requirements
Bachelor’s/Master’s in Business, Retail Management, Supply Chain, Data Analytics, or related field.
5+ years of retail experience (merchandising, operations, category management, supply chain, or e‑commerce).
Ability to translate business processes into structured data requirements.
Strong analytical and communication skills for technical and non‑technical audiences.
Experience with AI/ML concepts (annotation, prompt design, model evaluation) preferred.
Familiarity with ERP, POS, CRM, or inventory management systems is a plus.
Seniority Level
Entry level
Employment Type
Full‑time
Job Function
Sales, Customer Service, and General Business
Industries
Retail, Retail Apparel and Fashion, Online and Mail Order Retail
Referrals increase your chances of interviewing at Braintrust by 2x.
#J-18808-Ljbffr