Independent Consultant, Finance, Data & Engineering

You will evaluate AI-generated work in finance, data, and engineering. Your reviews will help identify errors, weak assumptions, and gaps in accuracy or reasoning.

You will also create realistic scenarios and problem sets based on professional work, share practical knowledge of industry tools, and document recommendations that can guide AI improvements and training data.

The role covers financial models, data analyses, code, technical documents, and business reports. Previous AI experience is helpful but not required.

• Review AI-generated financial models, data analyses, code, technical documentation, and business reports.
• Find errors, gaps, and flawed assumptions, then provide clear, actionable feedback.
• Create realistic scenarios and problem sets based on consulting and project work.
• Share knowledge of spreadsheets, business intelligence platforms, accounting software, and programming environments.
• Document findings and recommendations for AI system improvements and training datasets.

What it pays and takes

This is a part-time contractor role for professionals with established expertise and independent client experience.

• Pay: $60 to $120 per hour.
• Work type: Part-time contract work.
• Location: Open to candidates in the countries specified for this role, including the United States, Canada, the United Kingdom, India, Japan, and Singapore.
• Language: Fluent English.
• Expertise: Finance and accounting, data science and analytics, software or systems engineering, or a closely related quantitative field.
• Experience: Independent consulting, freelance, or fractional professional work, including managing client engagements from scope through pricing and delivery.
• Credentials: Relevant qualifications such as CPA, CFA, PE, or an advanced degree in a quantitative field.
• Skills: Clear written and verbal communication, actionable feedback, and familiarity with automation, scripting, or process improvement.
• Knowledge: Awareness of current AI, digital productivity, or automation trends.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

About AI training work

AI training work uses human judgment to improve artificial intelligence. People review model outputs, create useful examples, and explain what is accurate, clear, and useful so systems can learn from better data.