Responsibilities
• Evaluate AI-generated responses for accuracy, clarity, analytical rigor and practical usefulness in marketing analytics contexts
• Challenge language models with complex scenarios involving attribution tradeoffs, funnel diagnostics, campaign analysis and growth forecasting
• Review and refine AI-generated prompts, responses, reasoning chains and explanations related to marketing data and decision-making
• Identify errors, omissions, misleading assumptions or weak logic in AI-generated marketing recommendations
• Provide structured feedback to improve model behavior and domain accuracy
• Help shape AI communication standards for dashboards, experiment results, campaign outcomes and business implications
• Support benchmarking efforts by creating and evaluating tasks across real-world marketing analytics use cases
• Contribute expertise to improve executive summaries, performance narratives and actionable recommendations

Requirements
• 4+ years of professional experience in marketing analytics, growth analytics, marketing science, revenue analytics or a closely related field
• Significant hands-on work with paid media, web analytics, CRM, lifecycle marketing, campaign reporting, experimentation or customer funnel analysis
• Deep knowledge of attribution modeling, CAC/LTV analysis, funnel optimization, customer segmentation and marketing KPIs
• Strong understanding of statistical reasoning, A/B testing, incrementality, cohort analysis, data visualization and limitations of common measurement approaches
• Proven experience translating complex marketing data into clear business recommendations
• Bachelor's degree in marketing, business analytics, statistics, economics, data science, mathematics or a related field
• Master's degree or MBA preferred

How to Apply
Click "Apply" to be taken to the SME Careers website. The application process involves filling out your profile, completing an interview, and taking an exam for certain roles. If you pass, you will receive an email and your profile will be reviewed before being contacted for project onboarding. If you do not pass, you can redo the interview. Payments are made weekly once work is approved.