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

micro1 is engaging Independent Consultants, Finance, Data & Engineering (Domain Experts) to participate in a unique project supporting a customer's AI initiatives. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Leverage your hands-on experience in finance, data science, analytics, or engineering to review and evaluate real-world tasks, analyses, and deliverables.
• Assess AI-generated outputs, such as financial models, data analyses, code, technical documentation, and business reports for accuracy, rigor, and practical value.
• Develop authentic scenarios and problem sets inspired by actual client engagements and independent project work.
• Identify and articulate gaps, errors, or flawed assumptions in AI system outputs, delivering detailed, constructive feedback to guide improvements.
• Share professional insights on the effectiveness and usability of tools commonly utilized in your field — including spreadsheets, BI platforms, accounting software, and programming environments.
• Clearly document your findings, rationale, and actionable recommendations to inform the customer’s team and enhance AI system capabilities.
• Contribute your expertise to the creation and refinement of AI training datasets, ensuring real-world relevance and technical accuracy.

Preferred Qualifications

• Demonstrated independent practice as a freelancer, consultant, fractional professional, or business owner.
• Established expertise in finance and accounting, data science, analytics, software or systems engineering, or closely related quantitative disciplines.
• Exceptional written and verbal communication skills, with emphasis on clarity, thoroughness, and actionable feedback.
• Prior experience managing client engagements end-to-end, including scoping, pricing, and delivery.
• Relevant credentials such as CPA, CFA, PE, or an advanced degree in a quantitative field.
• Exposure to automation, scripting, or process optimization within your domain.
• Awareness of emerging trends in AI, digital productivity, or automation technologies.