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Independent Consultant, Finance, Data & Engineering (Domain Expert)
micro1
Contract type
Freelance
Work mode
Remote
Experience
3 years
Job description
Independent consultants with finance, data science, analytics or engineering expertise review and evaluate AI-generated outputs and help build AI training datasets for a customer's AI initiatives. No prior AI experience is required.
At a glance
- Employment
- Contract · Independent contractor
- Work mode
- Remote
What you'll do
- Leverage 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 findings, rationale, and actionable recommendations to inform the customer's team and enhance AI system capabilities.
- Contribute expertise to the creation and refinement of AI training datasets, ensuring real-world relevance and technical accuracy.
What we're looking for
Nice to have
- 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.