Finance Experts in India — Earn $53/hr
Put Your Financial Planning Expertise to Work for Up to $53 USD/hr Put your personal finance advisory experience to work at Outlier.ai — earn up to $53/hr training AI on real US cl…
Scale AI’s expert marketplace: published rates by domain, from coding and math to law and languages.
Operated by
Scale AI
Work type
Project queues, remote
Screening
Unpaid assessment per subject
Payouts
Weekly
15 open Outlier listings in the live feed, refreshed daily. Apply links go to Outlier directly; where a referral programme exists, Skillora may earn a fee at no cost to you, and it never affects what is shown. Official site: outlier.ai
Filtering by rate hides per-task listings, which have no hourly equivalent.
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Outlier is Scale AI’s marketplace for expert contributors. AI labs contract Scale for training data, and Outlier is where the human work happens: writing, grading and improving model responses in coding, math, writing, law, science and dozens of languages.
Each domain publishes its own rate, which makes Outlier one of the most transparent boards in this feed, and it has paid out over $100 million to contributors. It is also the platform with the most public complaints about task supply: work arrives in project waves, and an empty queue is a normal week, not a ban.
The honest framing: real money, real payment record, unpredictable volume. Treat it as flexible paid work that fluctuates rather than income you can plan around.
$15–180
per hour, published range
$150/hr
median listing
10
live listings publishing a rate
Computed from Outlier’s own published rates on the live feed, not from survey estimates.
Rates are published per project and vary by domain and country. Generalist work for US contributors clusters in the $15 to $30 an hour band; coding, math and specialist tracks post $30 to $50; legal and expert review reaches $100. Payouts run weekly via PayPal, AirTM or bank transfer.
Outlier’s catalogue is broader than any other marketplace here. Coding and math dominate, with dedicated tracks for writers, editors, attorneys, scientists and speakers of dozens of languages. Specialist tracks usually require a degree or professional experience in the subject; generalist writing and rating work has a lower bar and a lower rate.
Geography matters more than on other platforms: rates are set per country, and US contributors see the top of each band.
Onboarding is identity verification, then an unpaid subject assessment, then project-specific training. The assessment is the filter that removes most applicants, and Outlier does not always send a rejection: no task access after about two weeks usually means you did not pass.
The assessments test whether you can apply a rubric exactly, explain why an answer is wrong, and write cleanly under time pressure. People fail them by skimming instructions, and pass them by treating the rubric as the entire job description. Qualifying in more than one subject is the practical fix for quiet weeks later.
Skillora runs the same format: a domain interview with an AI interviewer, followed by feedback on how you explained your reasoning. Take it as many times as you want before the one that counts.
Start a free practice interviewYes. Outlier is operated by Scale AI and has paid out over $100 million to tens of thousands of contributors. The complaints you will find are almost entirely about task supply and account reviews, not missing payments: queues empty without warning, and onboarding is unpaid. Legitimate platform, volatile volume.
Published rates by domain and country, visible on each listing above. For US contributors: general writing and rating around $15 to $30 an hour, coding and math tracks $30 to $50, and specialist legal or expert review up to about $100. Contributors elsewhere see lower bands for the same work. Payouts land weekly.
Because work arrives in project waves tied to lab demand, and between waves there is nothing to serve. An empty queue is the default state for many contributors, not a penalty. The two mitigations: qualify in multiple subjects so more waves reach you, and treat Outlier as one feed among several rather than a schedule.
Hard enough to filter most applicants, by design. It is unpaid, subject-specific, and graded on rubric-following as much as subject knowledge: exact instructions, clear explanations of why an answer fails, clean writing under time. Read every instruction twice and write like you are teaching a grader. Silence for two weeks afterwards usually means no.
For specialist tracks, usually yes or equivalent professional experience: the math, law and science queues screen on it. Generalist writing, rating and some language work have no degree requirement and correspondingly lower rates. Your fastest entry is the strongest subject you can prove, then broadening once inside.
Both, in parallel; they fail in different ways. DataAnnotation has one unpaid assessment, no retakes, and steadier generalist work when you are in. Outlier has per-subject assessments, higher specialist ceilings, and lumpier supply. Senior professionals with a strong domain lean Outlier or Mercor; generalists lean DataAnnotation first.