The work
You will evaluate AI-generated work against the standards used in finance, accounting, data science, analytics, software engineering, systems engineering, or a closely related quantitative discipline. Day-to-day tasks may include checking financial models, analyses, code, technical documentation, and business reports for accuracy, rigor, flawed assumptions, and practical value. You may also develop scenarios based on real client or independent project work and help refine training datasets.
What the screening is likely to examine
Expect questions about specific projects, the tools you used, the decisions you owned, and how you verified that a deliverable was correct. Strong candidates can explain how they scope ambiguous work, identify consequential errors, distinguish technical correctness from usability, and write feedback that another professional can act on. Independent consulting experience, end-to-end client ownership, relevant credentials, and exposure to automation are preferred, but prior AI experience is not required.
Tools and working approach
The work may involve spreadsheets, BI platforms, accounting software, programming environments, scripting, or process-automation tools, depending on your discipline. You should be prepared to document evidence, reasoning, and recommendations clearly rather than simply assigning a score or stating that an output is wrong.
Logistics
This is a remote independent-contractor engagement. The listing does not state whether the workflow is asynchronous or specify typical weekly hours, so confirm scheduling, workload, deadlines, and meeting expectations during the selection process.
Pay band: $60–120/hr
