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

Role Title: Independent Consultant, Finance, Data & Engineering (Domain Expert)

Role Type: Contractor

Location: Remote

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

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

Preferred Qualifications

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

Originally posted on Himalayas