Independent Consultant/Entrepreneur, Finance, Data & Engineering (Domain Expert)

About the Role

micro1 is seeking experienced independent consultants and subject matter experts in finance, data, and engineering to contribute to the advancement of next-generation AI. In this role, you will utilize your professional expertise to improve AI reasoning and performance by providing high-quality, real-world data and oversight. Your work will transition AI capabilities from theoretical models to practical, high-standard professional tools. Prior AI development experience is not required; the primary focus is on your deep, domain-specific industry knowledge.

Requirements

• The ideal candidate possesses a proven background as an independent consultant, freelancer, business owner, or fractional professional.
• You must demonstrate established expertise in finance, accounting, data science, analytics, software engineering, or a related quantitative field.
• Strong written and verbal communication skills are essential, particularly the ability to provide clear, thorough, and actionable feedback.
• Preferred qualifications include relevant professional credentials such as a CPA, CFA, or PE, or an advanced degree in a quantitative discipline.
• You should have experience managing end-to-end client engagements and an awareness of current trends in automation, scripting, and emerging AI technologies.

Responsibilities

• You will leverage your professional background to assess and evaluate AI-generated outputs, including financial models, data analyses, code, and technical documentation, ensuring they meet professional standards for accuracy and value.
• You are tasked with developing realistic scenarios and problem sets that mirror actual client projects to train the AI effectively.
• Furthermore, you will identify and articulate errors or flawed assumptions within AI outputs, providing detailed, constructive feedback.
• You will also share insights on industry tools such as spreadsheets, BI platforms, accounting software, and programming environments, while documenting your findings to refine AI training datasets and inform team enhancements.