What the work involves

You receive AI-generated artifacts that imitate the work a pricing strategist, revenue operations lead, or commercial finance analyst would produce: a value-based pricing recommendation, a discount-tiering analysis, a subscription ROI model in Excel, a willingness-to-pay study summary, or a board deck arguing for a price increase. Your job is to grade them against a rubric and explain your reasoning in writing. That means checking whether the elasticity assumption is defensible, whether the ROI calculation actually nets out the costs it claims to, whether the payback period math survives inspection, whether the discount waterfall reconciles from list to pocket price, and whether the chart on slide 9 supports the headline above it.

Most tasks fall in the 20–60 minute range. Written feedback is the deliverable that matters most — a score without a traceable justification is not useful to the people training the model. Reviewers who flag "the NPV is wrong" without identifying which discount rate or cash flow line broke tend not to last.

What the platform screens for

  • Specific commercial experience, not adjacent finance. Mercor's screening probes whether you have personally owned pricing decisions, built ROI business cases that went to a customer or a committee, or run revenue analytics — and it follows up on the details.
  • Model literacy under scrutiny. Expect to be asked how you would stress-test an assumption set, or what you would look for first in an unfamiliar pricing spreadsheet.
  • Presentation judgment. A meaningful share of artifacts are slide decks, so fluency in PowerPoint and Google Slides conventions — and an eye for misleading charts — is part of the evaluation, not a nice-to-have.
  • Calibrated writing. Feedback must be concrete, ranked by severity, and free of vague hedging.

Logistics

Fully remote, fully asynchronous, contractor engagement. You claim tasks from a queue when you have time; there are no fixed shifts and no minimum weekly commitment, though throughput and consistency affect how much work reaches you. Most reviewers treat this as 5–15 hours per week alongside a primary role. Onboarding typically includes a paid or unpaid calibration set where your scores are compared against reference gradings before you get steady volume.