Retail Operations Manager - 58287

Turing; Austin (TX); Remote; USD 50,000 - 106,000; Full time

Benefits offered by this job

Strong compensation

Work in a fully remote environment

Potential for full-time engagement

1 month project duration

Job summary

A leading AI research accelerator is seeking candidates with strong operational experience in retail to evaluate and improve AI systems. You will design real-world retail scenarios, assess AI outputs, and provide structured feedback. The ideal candidate has over 2 years of experience in retail, strong analytical skills, and is based in the US. This role offers strong compensation in a fully remote environment with projects lasting approximately one month, with the potential for extension.

Qualifications

• 2+ years of hands-on operational experience in retail.
• Strong understanding of unit economics, margin structure, demand drivers, and inventory planning.
• Experience making tradeoffs under real-world constraints.
• Ability to make tradeoffs under real-world constraints (seasonality, supply chain variability).
• Clear written communication and structured thinking.
• Excellent English communication and analytical reasoning.
• Based in the US.

Responsibilities

• Design and review decision-making scenarios to test AI reasoning.
• Evaluate AI-generated outputs for operational accuracy and relevance.
• Write structured feedback covering inventory tradeoffs and pricing decisions.
• Collaborate with AI researchers and retail operators to improve model understanding of unit economics.

Skills

Operational experience in retail

eCommerce/Digital Retail knowledge

Grocery Retail understanding

In-Store/Field Operations experience

Analytical reasoning

Clear written communication

English proficiency

Job description

Turing is looking for candidates with strong, hands-on experience in retail operations, merchandising, pricing, inventory planning, and store-level decision-making. This role is designed for retail practitioners who have operated in real-world environments and can apply sound business judgment across margin, demand, inventory, and growth tradeoffs.

Role Overview

• In this role, you will be working on projects to help evaluate and improve AI using your real-world retail operations experience.
• No prior AI experience is required.
• These projects focus on operational judgment — helping AI systems learn how retailers make decisions across forecasting, pricing, assortment planning, and store performance.

What Does Day-to-Day Look Like

• Design and review real-world retail decision-making scenarios to test AI reasoning.
• Evaluate AI-generated outputs for operational accuracy, clarity, and business relevance.
• Write clear, structured feedback covering inventory tradeoffs, pricing and promotions, merchandising decisions, and store-level performance.
• Collaborate with AI researchers and other retail operators to improve model understanding of retail operations and unit economics.

Requirements

• 2+ years of hands-on operational experience in retail.
• Experience in one or more of the following retail areas:
• eCommerce / Digital Retail – Buyer, Merchandiser, Inventory Planner, eCommerce Ops
• Grocery Retail – Buyer, Merchandiser, Inventory Planner, Promotions, Merchandise Presentation
• In-Store / Field Operations – Store Manager, Store Owner, or similar roles
• Strong understanding of unit economics, margin structure, demand drivers, and inventory planning.
• Experience making tradeoffs under real-world constraints (seasonality, supply chain variability, regional demand differences).
• Clear written communication and structured thinking.
• Excellent English communication and analytical reasoning skills.
• Candidates must be based out of the US.

Perks of Freelancing with Turing & Offer Details

• Strong compensation (exact amount varies by project).
• Work in a fully remote environment.
• Engagement type: Contractor assignment/freelancer, potentially full-time.
• Duration of projects: approximately 1 month (with possibility for extension).

What Turing is NOT seeking from your expertise

• Confidential or proprietary information from any employer, university, etc.
• Trade secrets or internal company or university data.
• Specific client information or case details.
• Any information that would violate NDAs, employment agreements or other confidentiality obligations.

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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