Merchandising / Category Managers Specialist

About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Role Overview We are looking for a Merchandising & Category Management Subject Matter Expert (SME) to design, evaluate, and calibrate high-fidelity domain tasks, retail scenarios, and benchmark solutions. Depending on your depth of retail experience, candidates will be considered for an Expert Contributor (Merchandising / Category Manager) or a Senior Specialist / Reviewer (Senior Merchandising / Category Manager) track within our functional evaluation pods. Requirements Experience: 3–15 years of hands-on experience in retail merchandising, buying, category management, or inventory allocation. Core Competencies: Demonstrated expertise in assortment architecture, product allocation, and merchandise financial planning. Practical experience creating and analyzing assortment plans, visual planograms, and promotional calendars. Strong command of foundational retail calculations (GMROI, turn, markdowns, margin impact, weeks of supply). Execution & Communication: Proven ability to work under peer review, adapt quickly to calibration feedback, and adhere to structured rubrics. Strong written communication skills to articulate clear solution rationales and step-by-step methodology breakdowns. Responsibilities Benchmark Task Authoring: Design realistic, high-difficulty retail exercises, assortment planning scenarios, promotional strategy models, and planogram challenges with gold-standard solution sets. Rubric Application & Scoring: Apply evaluation rubrics established by the Functional SME (Expert) Lead to systematically assess and score retail planning submissions. Review & Calibration: Participate in peer calibration sessions, incorporate structured feedback, iterate on task designs, and help resolve edge cases in retail math or allocation logic. Commercial Modeling: Build and evaluate scenarios incorporating core retail KPIs, including sell-through rates, GMROI, open-to-buy (OTB), margin mix, and inventory turnover. Education & Experience Bachelor's degree or equivalent practical experience in any field. Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required. Offer Details: Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor Engagement Length: 12 weeks Evaluation Process - Applicants needs to submit Job Interest Form & complete the assessment. Final selected candidates will be contacted with the next steps and onboarding requirements.