Job Title: Pricing & Revenue Management - AI trainer
Job Type: Contract (Full-time or Part-time)
Location: Remote
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
- Design and refine comprehensive rubrics to assess AI performance on pricing and revenue management tasks.
- Leverage your subject matter expertise to evaluate, critique, and improve AI-generated outputs for accuracy and relevance.
- Collaborate cross-functionally with data scientists and AI engineers to translate pricing domain knowledge into machine-understandable instructions.
- Conduct scenario-based assessments and create data-driven training materials for AI systems using real-world market and competitive intelligence.
- Continuously monitor AI model outputs and provide actionable feedback for iterative improvement.
- Stay abreast of industry trends in pricing strategy, optimization, and AI advancements to keep training methodologies current.
- Document processes, findings, and recommendations with meticulous attention to both written and verbal communication quality.
Required Skills and Qualifications
- Proven experience in pricing and revenue management, pricing optimization, or related fields.
- Strong analytical capabilities in data analysis, forecasting, and interpreting pricing trends.
- Exceptional verbal and written communication skills with a passion for clarity and precision.
- Demonstrated ability to collaborate with multidisciplinary teams in a remote environment.
- Expertise with market and competitive intelligence tools and methodologies.
- Solid understanding of cross-functional business processes and stakeholder management.
- Attention to detail in both analytical tasks and communication deliverables.
