Get paid to train
frontier AI
Join thousands of experts earning $40–$150/hr reviewing AI outputs and labeling data — on your own schedule.
$ chrisqing task fetch --field=coding
{
task_id: "an_8f21c3",
category: "coding",
rate: "$75–$150/hr",
reviewers_active: 186,
status: "available",
}
$ ▌
infra.status
190,000+
Active annotators
$36M+
Paid out
50+
Task categories
5
Countries
Four stages, one pipeline
Every trainer runs the same pipeline — init, eval, verify, ship — usually inside 24 hours.
$ init --profile
Create your profile
Create your account with email or Google. Add your profile, country, LinkedIn, and choose your expert categories.
$ eval --category=all
Pass the eval
Take a short assessment in your chosen categories. Demonstrate your expertise and unlock the next step.
$ kyc --verify
Verify identity
Complete identity verification (KYC). Once approved, you get full access to the dashboard and paid tasks.
$ payout --start
Ship tasks, get paid
Complete annotation tasks at $40–$150/hr and withdraw your earnings directly to your crypto wallet.
Three ways to train the model
Every pipeline reduces to one of three calls. Your expertise decides what goes in.
rank_responses(prompt, candidates)
// signal
Comparing model responses teaches the AI which answers are actually correct, helpful, and safe.
// spec
Read a prompt and two or more model answers, then rank them and explain what makes the best one better.
# Rank these responses
- [x]Is the answer factually correct?
- [ ]Does it fully address the question?
- [ ]Is the reasoning sound, not just the result?
- [ ]Would an expert in the field approve it?
Built to train models, not waste time
Every part of the pipeline assumes you're a specialist whose time is expensive — because it is.
Priced like engineering work
$40–$150/hr. Reviewing model outputs in STEM, coding, and specialized domains is compensated like the skilled work it is.
Async by default
No shifts, no standups, no manager. Pull tasks from the queue whenever it suits you, push whenever you're done.
Fast pipeline, clear status
init → eval → verify → ship. Most trainers clear the full pipeline and reach paid tasks inside 24 hours.
On-chain payouts
Withdraw straight to your own wallet on Ethereum, Polygon, and more. Balance state is always visible, never a black box.
You're training the model, not busywork
Every submission is a training signal — proofs, code reviews, clinical judgment — that directly shapes model reasoning.
Reviewed pipeline, verified reviewers
Every trainer clears an eval and an identity check before shipping. 190,000+ verified specialists run this pipeline.
Live training runs
A live snapshot of pipelines currently accepting reviewers.
Pick a training domain
Rate scales with difficulty — routine eval at the low end, frontier reasoning at the top. Most trainers specialize in 1–2 domains and stay for years.
View domains.json$60–$120/hr
> Math
$75–$150/hr
> Programming
$75–$150/hr
> Medical
$75–$150/hr
> Law
$75–$150/hr
> Finance
$60–$120/hr
> Physics
Found your domain? The eval takes ~30 minutes — every submission is reviewed by hand.
Start the evalIf you're a specialist, there's a queue for you
ChrisQing routes real expertise into model training. You bring the domain depth; the pipeline brings the tasks, the rate, and the schedule.
- Based in the US, UK, CA, AU, or NZ
- Degree-level or equivalent hands-on depth in your field
- Able to clear a domain eval on the first or second attempt
Grad students & researchers
Route your coursework and research depth into a paid pipeline between classes and projects.
Domain professionals
Doctors, lawyers, and finance experts feed real-world judgment into high-value training runs.
Engineers & data scientists
Review model code, audit reasoning traces, and catch regressions at rates above most freelance work.
Subject-matter experts
Any field with real depth — linguistics, chemistry, whatever — has an open queue waiting for it.
Ship tasks, earn $40–$150/hr
Top reviewers clear thousands monthly. Depth in STEM, coding, and specialized domains is priced accordingly.
"Six months on the pipeline and it's never gone dry. Async, well-paid, and I can see exactly what my reviews change."
@sarah_k
math + physics · pipeline reviewer
$12,400
"The coding eval tasks are basically code review with better pay. It's the best-paid freelance-adjacent work I've found."
@james_r
coding + cs · pipeline reviewer
$18,200
"The eval was fast and unambiguous. Within a week I was reviewing clinical data at the top of the rate band."
@dr_amira_l
biology + medicine · pipeline reviewer
$9,800
$ balance --live
$3,420.00
Get paid on-chain, per submission
No invoicing, no net-30. The ledger updates as you work; withdraw whenever you're ready.
01Earn per submission
Every merged submission adds to your balance at $40–$150/hr, priced by category and difficulty.
02Live balance, no black box
Your dashboard streams exactly what you've earned and what's withdrawable, in real time.
03Withdraw on-chain
Cash out to your own wallet on Ethereum, USDC, or USDT once you clear the minimum — on your schedule.
FAQ / docs
We currently accept trainers based in the United States, United Kingdom, Canada, Australia, and New Zealand. You need to clear a domain eval and pass identity verification.
$40–$150/hr depending on domain and task difficulty. Specialized queues — medicine, coding, advanced math — sit at the top of the band.
After signup you pick your domains and run a short multiple-choice eval. Pass it, clear identity verification, and the task queue unlocks.
Payouts are on-chain. Once your balance clears the minimum, withdraw to your own wallet on Ethereum, Bitcoin, or USDT.
Most trainers clear the full pipeline — signup, eval, KYC — inside 24 hours. Some clear it in under an hour.
Math, coding, biology, finance, creative writing, law, and more. Tasks are matched to your verified domains automatically.