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Ethos is seeking a Revenue Strategy Analyst to help train AI models on professional document, spreadsheet, and slide deck tasks. This is a fully remote engagement with flexible hours between 5 and 20 per week.
You will apply 5+ years in pricing strategy, revenue economics, or monetization analysis to build elasticity models, packaging recommendations, and discount governance, delivering executive-ready analyses and clean outputs.
$90/hr
The rate in the listing.
From the Ethos listing, checked Nov 4.
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We're working with a leading foundational AI lab to find experienced revenue strategy analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for revenue strategy analysts with 5+ years in pricing strategy, revenue economics, or monetization analysis to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: price elasticity models and willingness-to-pay analyses, packaging and tiering recommendation decks, discount governance and deal desk guardrail spreadsheets, competitive price benchmarking summaries, revenue waterfall models and margin impact analyses, and pricing experiment readouts for executive stakeholders.
$90/hour
Commitment:
Flexible, 5-20 hours per week (or more if desired)
Location:
Fully remote, work on your own schedule
Start date:
ASAP
5+ years in pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations
Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
Common questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi-week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI-lab engagements, where you write or review expert material for a model.
Do I need to keep applying for projects on Ethos?
No. When your profile is live, Ethos matches you to new projects from your career history, so companies find you. Each finished project raises your Expert Score, which brings you better‑paid work.
How many hours a week is this Revenue Strategy Analyst work?
Between 5 and 20 hours a week. At $90/hr that is $450 to $1,800 a week. You set your own hours.
What experience does this Revenue Strategy Analyst listing ask for?
The listing asks for 5+ years in pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations; advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets; and expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail. Ethos's interviewer builds your profile from your CV, so have the roles that show this ready to talk through.
How much does this specific role pay?
This listing is posted at $90/hr, an hourly rate. Pay can change after we check the listing, so confirm the rate on the platform's application page.
What happens when I click Apply on this listing?
The link opens Ethos's sign‑up. There is no form for this listing: Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. Keep your CV open and cover the experience the Qualifications above ask for.
Who built Ethos and is it legitimate?
Yes. Ethos was founded in London in 2024 by James Lo (McKinsey, SoftBank Vision Fund) and Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev). It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. The link on this page is an affiliate link; it doesn't affect your pay or the projects you're offered.