Management Consulting Expert

About the Role

Location: Remote - US/Canada preferred; UK and Latin America also considered Pay: $60-120/hr. Paid per task Time commitment: 10+ hours/week required; 20+ preferred. Time per task: Approximately 3 hours, following approximately 15 hours of initial environment development. Estimates include agent execution time. Your tasks: Build realistic consulting work environments and use AI agents to create analyses, client deliverables, task instructions, and objective evaluation criteria. micro1 is engaging experienced management consultants to help build tasks that measure how effectively AI systems can perform complex consulting work. You’ll turn real client engagements into realistic scenarios, supporting files, and deliverables. Hands-on experience with agentic AI tools is required: you’ll work with agents to develop the materials and independently verify their quality. How the selection process works • Apply and complete the screening questions. • Complete the AI interview — this is how we showcase your expertise to the client. • Profile review. • Onboarding — our Talent Ops team will get you set up.

Responsibilities & Tasks

• Build realistic consulting environments containing client context, business data, reference documents, and stakeholder requirements.
• Design multi-step tasks involving business analysis, strategy, research synthesis, and executive recommendations.
• Use agentic AI tools to develop analyses, presentations, and supporting deliverables.

Qualifications & Requirements

• 5+ years of professional experience in management or strategy consulting.
• Direct ownership of substantial consulting workstreams, analyses, and client-facing deliverables.
• Hands-on experience using agentic AI tools such as Claude Code, Cursor, Codex, or Claude Cowork for substantive work. General chatbot use alone is insufficient.
• Experience at a top-tier management consulting firm.
• Experience in commercial due diligence, transaction strategy, or corporate carve-outs.
• Experience developing review standards, training junior professionals, or writing internal playbooks.
• Prior benchmark development or AI evaluation experience.
• Availability for 20+ hours per week.