Shadow AI & SaaS Visibility (Mid-Market) Expert

Compensation

Ethos has not published a rate for this one. Its other expert-call roles pay $350/hour.
Commitment:
Per call, no minimum hours
Location:
Fully remote

Qualifications

IT, security, or procurement leadership at a mid-market company
Hands-on experience tracking or governing shadow AI and SaaS use
Comfortable speaking about tools and decisions without breaching employer confidentiality
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
~65%
Within 3 months
~80%
Why this role
This Shadow AI & SaaS Visibility (Mid-Market) Expert position asks for solid Software Engineering knowledge. The AI training workflow itself gets taught on the job.
Skills and categories
Explore other opportunities in related specializations:
Software Engineering
High-Pay ($100+/hr)
No Degree Required
Software Engineering & Coding
AI Training
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Common questions
How and when does Ethos pay experts?
Within 30 days of invoice submission after a project closes. That net-30 schedule is standard for enterprise expert networks, but it's slower than the weekly payouts some AI training platforms offer, so plan your cash flow around it.
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.
Is AI training work the same as traditional consulting?
No. Instead of client deliverables, you're given complex scenarios to evaluate: grading the AI's logic, correcting its hallucinations, and supplying expert-level reasoning it doesn't have on its own. The job is closer to teaching than consulting.
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 Software Engineering work look like for a Shadow AI & SaaS Visibility (Mid-Market) Expert?
Tasks here are scoped to Software Engineering, not generic labeling. As a Shadow AI & SaaS Visibility (Mid-Market) Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What specific skills does this listing call for?
AI Training is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
The listing doesn't state a rate. The $350/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform 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.