What the work involves
You author transaction scenarios the way they actually unfold: a dual-agency question that surfaces mid-negotiation, an inspection response deadline that collides with a financing contingency, a seller who mentions a past roof leak in passing. Each scenario ships with a reference answer that spells out the contractual and market reasoning — which clause governs, what the agent's duty is, what the timeline forces. Then you grade model output against that reasoning, and the harder half of the job is catching answers that sound like a competent agent wrote them but quietly breach a disclosure obligation, misstate who the fiduciary duty runs to, or give legal advice a broker isn't licensed to give.
What the platform screens for
AfterQuery's screen is AI-led and follow-up heavy. It will ask you to name specific forms, contingency mechanics, and state-level variation, then push on your first answer to see whether the knowledge is lived or memorized. Expect to be tested on whether you can distinguish a model answer that is wrong from one that is incomplete but defensible, and whether you can write your reasoning down in prose a non-broker reviewer can follow. Vagueness about which state's rules you're describing is the most common failure — agency and disclosure regimes differ enough that unlabeled generalizations read as thin.
Logistics
- Fully remote, fully async — no scheduled calls, no shift windows
- Minimum commitment around 10 hours per week, with hours you set
- Paid weekly via Stripe; $80–120/hr is the observed band, not a guarantee, and typically tracks scenario complexity and reviewer track record
- Ongoing project work rather than a fixed-length engagement, with volume that fluctuates by batch
Active licensure in at least one US state is checked. Multi-state licensure, managing broker experience, and exposure to both residential and commercial deals are genuine differentiators when task batches call for them.