Data Scientist - AI Reviewer Expert
Quick facts
- Pay
- $150 / hour
- Type
- Contract
- Location
- Remote
- Background
- Bachelor's degree
- Platform
- Ethos — 282 open jobs
- Typical pay at Ethos
- $70–100/hour · median $80 (282 jobs on our site)
- Apply
- Free to apply — never pay to get AI training work
Requirements
Must be eligible to work in Remote
Fluent proficiency in English (Written & Verbal)
Reliable high-speed internet connection
Bachelor's degree or equivalent professional experience
Demonstrated expertise in STEM
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between
referral and hire is about
30 days
.
It varies by platform and role, so treat it as a rough guide for this one.
Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%
Why this role
This Data Scientist - AI Reviewer Expert role pays $150/hr for your STEM judgment directly, without requiring case files, client meetings, or firm overhead to get there.
Talent pool
We're light on STEM candidates
We've matched 65 people with a STEM background against 720 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
Set up your profile
Skills and categories
Explore other opportunities in related specializations:
STEM
High-Pay ($100+/hr)
No Degree Required
Data Science
STEM & Science
RLHF & AI Evaluation
Expert
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Common questions
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.
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.
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.
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.
What does STEM work look like for a Data Scientist - AI Reviewer Expert?
Tasks here are scoped to STEM, not generic labeling. As a Data Scientist - AI Reviewer Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert 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?
This listing is posted at $150/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.
About Ethos
Ethos is an expert network backed by Andreessen Horowitz that uses an AI voice interview to learn about your experience and then matches you with paid opportunities, including AI training and evaluation projects.