Retail Specialist - Fully Remote | Upto $80/hr Part-time
Budget / Salary$60–80
TypeFull-time job
LocationUnited States
Posted3 hours ago
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Retail Specialist
Type:Contract
Compensation:$60–$80/hour
Location:Remote
Role Responsibilities
Guide research and engineering teams to close knowledge gaps in retail merchandising, category management, and operations reasoning.
Design challenging, domain-relevant retail tasks and write accurate, well-reasoned solutions grounded in real retail practice.
Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
Develop and refine evaluation guidelines and scoring rubrics specific to retail tasks.
Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
8+ years of dedicated professional experience in retail (e.g., merchandising, category management, retail operations, buying/planning) at a recognized, top-tier organization (e.g., Amazon, Walmart, Target, Nike, Costco, Home Depot, or equivalent).
Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application.
Demonstrable career progression (e.g., Category Manager → Senior Manager → Director of Merchandising).
Ability to engage reliably for at least 35 hours/week during weekdays.
Verbal and written communication skills, problem-solving skills, and interpersonal skills.
Compensation & Legal
W-2 employment with Cincinnatus LLC
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Retail Specialist
Type:Contract
Compensation:$60–$80/hour
Location:Remote
Role Responsibilities
Guide research and engineering teams to close knowledge gaps in retail merchandising, category management, and operations reasoning.
Design challenging, domain-relevant retail tasks and write accurate, well-reasoned solutions grounded in real retail practice.
Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality.
Develop and refine evaluation guidelines and scoring rubrics specific to retail tasks.
Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
Qualifications
Must-Have
8+ years of dedicated professional experience in retail (e.g., merchandising, category management, retail operations, buying/planning) at a recognized, top-tier organization (e.g., Amazon, Walmart, Target, Nike, Costco, Home Depot, or equivalent).
Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application.
Demonstrable career progression (e.g., Category Manager → Senior Manager → Director of Merchandising).
Ability to engage reliably for at least 35 hours/week during weekdays.
Verbal and written communication skills, problem-solving skills, and interpersonal skills.
Compensation & Legal
W-2 employment with Cincinnatus LLC
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.