Retail Specialist

Job not on LinkedIn

🕒 August 14

🇺🇸 United States – Remote

💵 $60 - $80 / hour

⏰ Full Time

🟠 Senior

🔴 Lead

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Work with research and engineering teams to identify and address knowledge gaps related to retail merchandising, category management, buying, planning, and operations • Design challenging, realistic retail tasks reflecting real-world business scenarios and decision-making • Develop accurate, well-reasoned 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, actionable written feedback on strengths, weaknesses, and improvement areas • Develop and refine retail evaluation guidelines and scoring frameworks • Collaborate with subject-matter experts to maintain consistency, accuracy, and quality across AI training and evaluation datasets • Translate practical retail knowledge and decision-making processes into structured guidance to improve AI systems

🎯 Requirements

• 8+ years of professional retail experience in merchandising, category management, buying, retail planning, retail operations, or related functions • Experience in a recognized large-scale retail, consumer, e-commerce, or omnichannel organization strongly preferred • Mandatory hands-on experience evaluating LLM or AI-generated outputs against rubrics or structured scoring criteria • Demonstrated career progression and increasing responsibility • Strong understanding of retail strategy, merchandising processes, category performance, inventory considerations, customer behavior, and operational decision-making • Ability to assess complex business scenarios and determine whether recommendations are practical and commercially sound • Strong written and verbal communication skills • Excellent problem-solving and analytical abilities • High attention to detail and consistency when applying evaluation criteria • Comfortable collaborating with cross-functional teams and subject-matter experts • Ability to commit reliably to approximately 35 hours per week during weekdays