Pricing & Revenue Management - AI trainer

Pricing & Revenue Management - AI trainer

Job Summary

Join our customer's team as a Pricing & Revenue Management - AI trainer, where your domain expertise will directly influence the development of cutting-edge AI solutions. In this unique, fully remote role, you will craft rubrics and enhance AI models, ensuring they reflect industry best practices in pricing strategy and revenue optimization. Play a pivotal part in training next-generation AI systems using your hands-on knowledge and analytical skills.

Key Responsibilities

1. Design and refine comprehensive rubrics to assess AI performance on pricing and revenue management tasks.
2. Leverage your subject matter expertise to evaluate, critique, and improve AI-generated outputs for accuracy and relevance.
3. Collaborate cross-functionally with data scientists and AI engineers to translate pricing domain knowledge into machine-understandable instructions.
4. Conduct scenario-based assessments and create data-driven training materials for AI systems using real-world market and competitive intelligence.
5. Continuously monitor AI model outputs and provide actionable feedback for iterative improvement.
6. Stay abreast of industry trends in pricing strategy, optimization, and AI advancements to keep training methodologies current.
7. Document processes, findings, and recommendations with meticulous attention to both written and verbal communication quality.

Required Skills and Qualifications

1. Proven experience in pricing and revenue management, pricing optimization, or related fields.
2. Strong analytical capabilities in data analysis, forecasting, and interpreting pricing trends.
3. Exceptional verbal and written communication skills with a passion for clarity and precision.
4. Demonstrated ability to collaborate with multidisciplinary teams in a remote environment.
5. Expertise with market and competitive intelligence tools and methodologies.
6. Solid understanding of cross-functional business processes and stakeholder management.
7. Attention to detail in both analytical tasks and communication deliverables.