Retail Specialist

11 hours, 40 minutes ago
Part-time
Lead
Artificial Intelligence and Machine Learning
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Identify and address AI knowledge gaps across retail merchandising, category management, buying, planning, and operations.
  • Design realistic retail tasks and business scenarios involving practical decision-making.
  • Develop accurate solutions based on established retail practices and professional experience.
  • Evaluate AI-generated responses using structured rubrics for accuracy, reasoning, judgment, relevance, and completeness.
  • Provide clear written feedback on response strengths, weaknesses, and improvement areas.
  • Develop and refine retail-specific evaluation guidelines and scoring frameworks.
  • Collaborate with research, engineering, and subject-matter expert teams to maintain dataset quality and consistency.
  • Translate practical retail knowledge and decision-making processes into structured guidance for AI improvement.

Requirements

  • 8+ years of professional retail experience in merchandising, category management, buying, planning, operations, or related functions.
  • Hands-on experience evaluating LLM or AI-generated outputs using rubrics or structured scoring criteria is mandatory.
  • Experience with a large-scale retail, consumer, e-commerce, or omnichannel organization is strongly preferred.
  • Demonstrated career progression and increasing responsibility, such as Category Manager to Senior Manager to Director of Merchandising.
  • Strong understanding of retail strategy, merchandising processes, category performance, inventory, customer behavior, and operations.
  • Ability to assess complex business scenarios and determine whether recommendations are commercially practical.
  • Strong written and verbal communication, analytical, problem-solving, and professional judgment skills.
  • High attention to detail and consistency when applying evaluation criteria.
  • Experience with AI evaluation, training data, structured grading, or quality assurance is preferred.
  • Availability for approximately 35 hours per week on weekdays.

Benefits

  • Compensation of $60–$80 per hour.
  • Full-time engagement of approximately 35 hours per week.
  • Fully remote work arrangement.

Interested in this position?

Apply directly on the company website

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