Retail Analyst - Japanese / German / Arabic / Spanish /Portuguese / Chinese
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Job Title -
Retail Analyst - Japanese / German / Arabic / Spanish /Portuguese / Chinese
Location: - Remote
Employment Type: : Contract
Job Description
Langrauge Requitred - Japanese / German / Arabic / Spanish /Portuguese / Chinese
Role Overview
• We are seeking an experienced Retail Subject Matter Expert (SME) with creative thinking and problem solving skills to join our AI training and model development team.
• The ideal candidate will bring deep expertise in the retail sector—including operations, merchandising, supply chain, store management, and
• customer experience—and will help train, evaluate, and fine-tune AI models to ensure accuracy, domain
• relevance, and contextual understanding.
• You will work cross functional teams of data scientists, AI engineers, and product teams to build
• intelligent retail solutions such as virtual assistants, demand forecasting tools, and customer insight
• engines.
Key Responsibilities:
• Serve as the retail domain expert during the training and fine-tuning of AI models, ensuring contextual accuracy and industry relevance.
• Develop knowledge bases, taxonomies, and ontologies that reflect retail industry standards and best practices.
• Annotate, label, and validate datasets with domain-specific knowledge (product categories, inventory terms, pricing, promotions, etc.).
• Collaborate with AI/ML engineers to design training data strategies, evaluation metrics, and prompt engineering techniques tailored to retail applications.
• Provide expert feedback on model outputs, identifying errors, ambiguities, and opportunities to improve model reasoning and performance.
• Partner with product and analytics teams to align AI capabilities with business objectives such as improving sales, forecasting demand, or enhancing customer engagement.
• Stay current with emerging trends in retail technology and AI, bringing innovative ideas for practical implementation.
Required Qualifications:
• Bachelor’s or Master’s degree in Business, Retail Management, Supply Chain, Data Analytics, or related field.
• 3-5 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce).
• Proven ability to translate business processes into structured data requirements.
• Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams.
• Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus.
• 5–10 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce).
• Proven ability to translate business processes into structured data requirements.
• Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams.
• Experience with AI/ML concepts (data annotation, prompt design, model evaluation) preferred— but deep retail expertise is essential.
• Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus.
“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”
Apply tot his job
Apply To this Job
Job Title -
Retail Analyst - Japanese / German / Arabic / Spanish /Portuguese / Chinese
Location: - Remote
Employment Type: : Contract
Job Description
Langrauge Requitred - Japanese / German / Arabic / Spanish /Portuguese / Chinese
Role Overview
• We are seeking an experienced Retail Subject Matter Expert (SME) with creative thinking and problem solving skills to join our AI training and model development team.
• The ideal candidate will bring deep expertise in the retail sector—including operations, merchandising, supply chain, store management, and
• customer experience—and will help train, evaluate, and fine-tune AI models to ensure accuracy, domain
• relevance, and contextual understanding.
• You will work cross functional teams of data scientists, AI engineers, and product teams to build
• intelligent retail solutions such as virtual assistants, demand forecasting tools, and customer insight
• engines.
Key Responsibilities:
• Serve as the retail domain expert during the training and fine-tuning of AI models, ensuring contextual accuracy and industry relevance.
• Develop knowledge bases, taxonomies, and ontologies that reflect retail industry standards and best practices.
• Annotate, label, and validate datasets with domain-specific knowledge (product categories, inventory terms, pricing, promotions, etc.).
• Collaborate with AI/ML engineers to design training data strategies, evaluation metrics, and prompt engineering techniques tailored to retail applications.
• Provide expert feedback on model outputs, identifying errors, ambiguities, and opportunities to improve model reasoning and performance.
• Partner with product and analytics teams to align AI capabilities with business objectives such as improving sales, forecasting demand, or enhancing customer engagement.
• Stay current with emerging trends in retail technology and AI, bringing innovative ideas for practical implementation.
Required Qualifications:
• Bachelor’s or Master’s degree in Business, Retail Management, Supply Chain, Data Analytics, or related field.
• 3-5 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce).
• Proven ability to translate business processes into structured data requirements.
• Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams.
• Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus.
• 5–10 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce).
• Proven ability to translate business processes into structured data requirements.
• Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams.
• Experience with AI/ML concepts (data annotation, prompt design, model evaluation) preferred— but deep retail expertise is essential.
• Familiarity with retail data systems such as ERP, POS, CRM, or inventory management software is a plus.
“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”
Apply tot his job
Apply To this Job