Job description
Role Title: Shopify Specialist
Role Type: Contract (~5 - 10 hs/week)
Location: Remote
Required Skills
Shopify data model
E-commerce analytics
Applied Shopify experience
Feedback quality
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Review proposed Shopify and e-commerce task structures, identifying where they diverge from actual platform workflows and data models.
Provide clear, actionable written and verbal feedback on the realism and completeness of analytical scenarios and deliverables.
Advise on Shopify's core data objects—including orders, products, customers, and reporting—to ensure analytic tasks align with real-world use.
Highlight gaps, edge cases, or unrealistic assumptions in scenario framing, drawing on direct hands-on experience.
Recommend improvements to task structures, terminology, and metrics based on best practices in the Shopify and e-commerce ecosystem.
Validate that terminology and definitions are consistent with standard Shopify/e-commerce analytics language.
Suggest additional cases or refinements to better reflect the operator and analyst perspective.
Preferred Qualifications
5+ years of deep, hands-on experience within the Shopify ecosystem—across store operations, development, or analytics.
Comprehensive knowledge of Shopify's data model (orders, products, customers, reporting).
Strong foundation in e-commerce analytics, including conversion, retention, cohort, and revenue measurements.
Proven ability to communicate feedback clearly and effectively in both written and verbal forms.
Direct experience advising on best practices for structuring Shopify-related analytical work.
Experience with multiple Shopify stores, or as a consultant or agency professional (nice to have).
Familiarity with Shopify Plus, advanced reporting, and analytical tools such as SQL or BI platforms (e.g., Looker) is a plus.
Hiring flow:
AI Interview
Recruiter and team members interview
Offer and onboarding (if selected)
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.