What the work actually involves

You will spend most of your time doing three things: producing reference decks the way you would for a client, grading model-generated decks against that standard, and writing the rationale that explains the gap. A task might be a five-slide pipeline assessment exhibit for a mid-cap biotech, a payer mix and reimbursement waterfall for a health system turnaround, or a commercial due diligence storyline for an ASC roll-up. The model then attempts the same brief, and you mark where it fails — a header that asserts a conclusion the data underneath does not support, a market-sizing exhibit that double-counts covered lives, a clinical claim stated with a confidence no label would permit.

The written rationale matters as much as the score. A rating with no explanation teaches the model nothing; "the action title claims share gain but the chart shows volume growth in a shrinking market" teaches it a great deal. Expect to write more prose than you would in a normal consulting week.

What the platform screens for

  • Real deck reps. Screeners probe for specific engagement types, audiences, and what the deck had to accomplish. Vague seniority claims collapse under two follow-ups.
  • Healthcare-specific reasoning. Anyone can build a waterfall. The lab wants people who know why a 340B assumption changes a margin bridge, or why a Phase II readout gets caveated differently than a Phase III.
  • Slide craft as argument. Action titles, exhibit selection, the discipline of one message per slide — these are gradeable, and you are expected to articulate why one construction is stronger than another.
  • Calibration. Consistent standards across dozens of samples, and the willingness to mark something merely adequate rather than rounding up.

Logistics

Fully remote and asynchronous. Most contributors work 5–20 hours per week on their own schedule, with room to take more volume when it is available. Pay is observed at $100/hour — this is what contributors on this program have reported, not a guaranteed rate, and task mix can shift. The interview process includes an AI voice screen where you talk through your background and reason aloud about deck quality; there is no live slide-building exercise, but you should expect to describe specific decks in detail.