What the work actually involves
You will be handed Canadian personal finance material — model outputs, user-generated questions, document excerpts covering T1 filing, RRSP and TFSA contribution mechanics, budgeting plans, credit scoring and debt management — and asked to judge it against a written rubric. Most tasks resolve into a score plus a short justification: what is factually wrong, what is technically right but misleading for a Canadian reader, what omits a CRA rule or provincial variation that changes the answer. A second strand of the work is generative: rewriting a tangled explanation into plain, accurate language a non-expert could act on. A third is meta — when the rubric cannot settle a case, you write up the edge case so the guideline can be amended.
What the platform screens for
micro1 runs an AI-led screening interview before any project match. It probes Canadian specificity hard, because the main failure mode in this category is US personal finance knowledge dressed up as Canadian: 401(k) reasoning applied to RRSPs, IRS filing logic applied to the CRA, credit bureau assumptions that do not hold here. Expect follow-up questions that push a general answer toward a concrete number, deadline, or rule. The screen also tests rubric discipline — whether you can apply someone else's scoring criteria rather than substituting your own professional opinion — and whether you recognise sensitive financial data and handle it appropriately.
Pay band: $90–110/hr.
Logistics
- Remote, contractor engagement, no AI or machine learning background required.
- Largely asynchronous: tasks are drawn from a queue, with periodic written calibration and guideline discussion.
- Google Workspace (Docs, Sheets, Drive) is the working environment for deliverables and documentation.
- Volume on these projects fluctuates; candidates who state a realistic weekly hour range and keep to it fare better than those who claim open-ended availability.