Sector Evaluations – Marketing, Retail, and Insurance

Job not on LinkedIn

October 29

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $90 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔒 Insurance

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Summa Linguae Technologies

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Artificial Intelligence • B2B • SaaS

Summa Linguae Technologies is a company that provides tech-enabled language solutions for global, content-rich companies facing multilingual data challenges. They offer data solutions for artificial intelligence, including data collection, annotation, and testing solutions to power AI and translation models. In addition, they provide technology-enabled localization and translation solutions that combine automation and human expertise. Summa Linguae Technologies also offers managed services, including staffing and project management solutions to optimize localization efforts. Their mission is to facilitate seamless communication between their clients and their global customer base through multilingual data management solutions, leveraging data, automation, and human expertise.

201 - 500 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Project-based bonuses