Retail Specialist – AI Trainer - NAMER - Remote - Part-time - Allnew Jobs

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Monday, August 11, 2025

Retail Specialist – AI Trainer - NAMER - Remote - Part-time

 About the job

Job Title: Retail & Consumer Goods Specialist – AI Trainer
Job Type: Contract (Part-time or Full-time)
Location: Remote

Job Summary:

Join our customer’s team as a Retail & Consumer Goods Specialist – AI Trainer, where you will shape the next generation of AI systems for retail. Your expertise in retail operations and merchandising will ensure that our AI tools truly understand the challenges and nuances of the consumer goods industry. Enjoy a flexible, remote role where your insights drive smarter solutions and better customer engagement.

Key Responsibilities:

  • Source and curate authentic retail and consumer goods documents, including sales reports, product specs, and store operations manuals.
  • Design realistic queries and scenarios that mirror everyday retail workflows and customer interactions.
  • Evaluate AI-generated outputs for accuracy, commercial impact, and alignment with retail best practices.
  • Deliver clear, actionable feedback to enhance AI training datasets and outcomes.
  • Collaborate closely with the AI development team, sharing retail expertise to improve model performance.
  • Ensure all content meets high standards for detail, tone, and real-world relevance.
  • Stay current with emerging retail trends and share insights to keep AI models up to date.

Required Skills and Qualifications:

  • Minimum 3 years’ experience in retail operations, merchandising, e-commerce, or supply chain management.
  • Exceptional written and verbal English communication skills, with a strong focus on clarity and accuracy.
  • Demonstrated ability to organize, analyze, and synthesize product or customer data.
  • High attention to detail when reviewing and editing content.
  • Proven experience translating complex workflows into clear, actionable processes.
  • Comfortable working independently in a remote and fast-paced environment.

Preferred Qualifications:

  • Background in AI, data annotation, or training machine learning models for retail applications.
  • Experience with digital collaboration tools or remote-first teams.
  • Knowledge of global retail trends and omnichannel strategies.

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