What the work involves
You'll spend most of your time on two kinds of tasks. The first is production: given a brief resembling something you'd get from a CFO or a head of IR, you build the deliverable — a storyline, an executive summary, a set of slides with real horizontal and vertical logic, an exhibit that makes a number argue for itself. The second is evaluation: two AI-generated decks land in front of you and you decide which is better, then write the reasoning in enough detail that a model trainer who has never built an earnings deck can follow it. The written rationale matters more than the verdict.
Expect briefs drawn from core IR workflows — quarterly results presentations, investor day narratives, analyst-day positioning, guidance framing, board-level summaries, non-deal roadshow material. The lab wants professional judgment made explicit: why this action title and not that one, why the bridge chart beats the waterfall here, why an exec summary that leads with the miss is stronger than one that buries it.
What the platform screens for
Ethos runs an AI voice screen. It is looking for concrete provenance — which company or advisory firm, which decks, what your actual role in producing them was — and for whether your slide judgment survives follow-up questions. Vague claims about "strong storylining" invite probes; specific claims about how you restructured a guidance section under a deadline do not. It also screens for whether you can articulate a critique rather than simply exercising taste. Disclosure-sensitive instincts are a plus: people who reflexively check whether a claim would need to be in the filings tend to score well.
Logistics
- Fully remote and asynchronous; you pick your hours
- 5–20 hours per week, with room to take more if you want it
- $100/hour observed on this listing — a band, not a guarantee, and task mix can shift it
- No live client calls, no deadlines tied to someone else's earnings calendar
- PowerPoint fluency is assumed; you will be building, not just commenting