Management Consulting AI Evaluation Expert

You will help improve AI systems by creating realistic management consulting problems and scenarios, then reviewing the answers they produce. Your feedback will focus on whether each response is accurate, practical, and consistent with professional consulting work.

Tasks are project-based and completed independently in a remote, asynchronous setting. You may work across strategy, operations, implementation, transaction advisory, and M&A use cases.

• Create expert-level consulting problems based on client engagements, business analysis, and established frameworks.
• Evaluate AI-generated responses for technical accuracy, practical feasibility, and professional consulting standards.
• Write clear, structured feedback that helps improve AI reasoning and performance.
• Use case frameworks, market sizing, and business case development when relevant.

This is an ongoing, part-time contract opportunity that can fit alongside another role. The work is remote and asynchronous, with a flexible schedule.

• Pay: $115 per hour.
• Time: 20+ hours per week; part-time and flexible work with no set schedule.
• Location:
  
  Open to candidates in the United States who can work remotely and asynchronously.
• Experience:
  
  At least one year of professional management consulting experience.
• Education:
  
  A bachelor's degree in business, economics, finance, or a related field.
• Expertise:
  Corporate or growth strategy, operations and implementation consulting, or transaction advisory and M&A consulting.
• Skills:
  
  Strong written communication, close attention to detail, structured problem-solving, and the ability to explain complex business concepts clearly.
• Helpful background:
  Experience at Bain, BCG, McKinsey, Deloitte, Strategy&, or L.E.K., or experience with case frameworks, market sizing, or business cases.

AI training is the human work behind artificial intelligence. People create examples, review model responses, and provide feedback so AI systems can produce more useful results. Specialists are valuable because their professional knowledge helps models handle complex real-world tasks.