Senior Research Analyst Expert
$100 per hourEthos
Generalist
Senior Research Analyst Expert
Ethos
â¢
Remote
Education
Not stated
Type
Hourly
Pay Rate
$100/hr
Listed
38d ago
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How Ethos hiring works
Your application is a 10-minute call.
Ethos's AI interviewer asks about your career, then matches you to projects like Senior Research Analyst. Keep your CV open and cover these:
3+ years in equity research at a recognized sell-side or independent firm
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3+ years in equity research at a recognized sell-side or independent firm
Deep expertise in valuation exhibits, industry analysis, and investment thesis communication
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Deep expertise in valuation exhibits, industry analysis, and investment thesis communication
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention
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Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention
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About this role
From the Ethos listing
About This Opportunity
We're working with a leading foundational AI lab to find experienced senior research analysts from top banks and independent research firms who can help train their latest language model on professional presentation and slide deck tasks.
We're looking for senior research analysts with 3+ years covering a sector at a sell-side or independent research firm to create, evaluate, and refine AI-generated presentations and slide decks across core workflows: initiation report exhibits, earnings preview and review slides, industry primer decks, thesis one-pagers, valuation summary pages, and marketing decks for investor meetings.
Compensation
$100/hour
Commitment:
Flexible, 5-20 hours per week (or more if desired)
Location:
Fully remote, work on your own schedule
Start date:
ASAP
Qualifications
3+ years in equity research at a recognized sell-side or independent firm
Deep expertise in valuation exhibits, industry analysis, and investment thesis communication
Expert-level PowerPoint and slide craftsmanship, with excellent written communication and attention to detail
About Ethos
Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.
How long hiring takes
Across the platforms we work with, people typically hear back about a hire within
about
30 days
of being referred.
Some are quicker, some take longer.
Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%
Why this role
Few outlets pay Generalist specialists what the leading AI labs pay for direct judgment. At $100/hr, this Senior Research Analyst Expert role prices in the expertise itself, separate from hours billed or clients managed.
Skills and categories
Explore other opportunities in related specializations:
Generalist
High-Pay ($100+/hr)
No Degree Required
Business & Strategy
Expert
AI Training
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Common questions
Is Ethos regular AI training work like rating chatbot responses?
No. Ethos is an expert network, not a task queue. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) through three formats: multi-week consulting engagements, 30-60 minute advisory calls, and targeted research surveys.
Do I need to keep applying for projects on Ethos?
No. Once your profile is live, Ethos's algorithm matches you to inbound opportunities based on your career history, so companies find you instead of you hunting for listings. Your Expert Score rises with each completed engagement and unlocks higher-value work over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so the deal flow behind this is real.
Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
What does Generalist work look like for a Senior Research Analyst Expert?
Tasks here are scoped to Generalist, not generic labeling. As a Senior Research Analyst Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert and AI Training are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $100/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Ethos's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who built Ethos and is it legitimate?
Yes, it's legitimate and well-funded: Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up, and it's actively working with 25+ PE firms, hedge funds, and consultancies. The referral link on this page is an affiliate link; it doesn't affect your pay or opportunities.
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