Fairy
For Fairies

AI took the execution. You get paid for the judgment.

AI now writes the code, drafts the contract, builds the model. What it can't do is decide whether it's safe to ship. Every day it hits calls it shouldn't make alone — and routes them to a human. That human gets paid. Be that human, on your own schedule.

7

Domains · Expanding

<2h

First match

Next-day

Payout

5%

Acceptance rate

The work

The calls AI won't make alone

These are the highest-demand decisions AI routes to a human every day. You get matched to the ones in your domain — and paid per call.

Payments & money math

Is this change idempotent? Does it reconcile? Money errors are unrecoverable.

Auth, access & agent security

Safe session change? Least privilege? Can untrusted input drive a tool-holding agent?

Production deploys & migrations

Is this AI-written change safe to ship? Is the migration reversible?

Contracts, terms & compliance claims

Is the drafted language enforceable? Does each claim have evidence behind it?

AI output & personal-data access

Safe to show this confident answer to users? Is this bulk PII operation justified?

Pricing, rollouts & metrics

Sound pricing + grandfathering? Ship this model change broadly? Proxy harming the goal?

How it works

01

Apply & get vetted

Submit your background. We review on real production code — no take-home projects, no whiteboard. Fewer than 5% of applicants pass.

02

Get matched to a job

A job lands in your queue. You see the domain, scope, and deadline before you commit. Claim it or pass — no pressure, no penalty.

03

Review, deliver, get paid

Complete the review in your dashboard. Deliver your findings. Payment hits your account the next day. No chasing invoices.

Job lifecycle

Posted

Matched

In review

Delivered

What you could earn

It depends on what you're great at.

You get matched to the calls in your domain and claim what fits your week. A few illustrative scenarios — real earnings depend on your specialty, your ratings, and how much you take on.

Senior payments engineer

Catch idempotency and reconciliation defects in AI-written payment code before money moves.

A few payment reviews in the evenings adds up to a meaningful monthly side income.

Security engineer

Sign off on auth and access changes; check whether untrusted input can drive a tool-holding agent.

Security sign-offs and the occasional deep audit are among the highest-value calls on the platform.

Staff backend / infra

Judge whether an AI-written change is safe to ship and whether a migration is reversible.

Clear a few deploy reviews between meetings — short calls that fit around a full-time job.

Attorney / compliance

Review AI-drafted contract and policy language, and whether compliance claims have evidence.

Deeper legal reviews carry the platform's higher rates; take on as few or as many as you like.

ML / AI engineer

Decide whether a confident AI answer is safe to show users, and gate model rollouts behind evals.

Fast-turnaround AI-output calls stack up quickly when your domain is in demand.

Finance / FP&A

Verify the money math in an AI-built model, and sanity-check pricing and grandfathering.

Model and pricing reviews are meaty, well-paid calls you can do on your own schedule.

Your schedule

No minimum hours. No shifts. Claim jobs when you want them.

Deadline clarity

Every job shows turnaround time upfront. 4h, 24h, or 72h — you choose.

Build your rep

Ratings follow your profile and unlock higher-value jobs over time.

What you review

Every domain AI gets wrong first.

Code & architecture

PRs, system designs, AI-generated codebases

Security

AuthN/AuthZ, pentest output, threat models

Legal & compliance

Contracts, regulatory filings, policy docs

Finance & accounting

Models, forecasts, cap tables, reconciliation

ML / AI systems

Prompts, pipelines, eval frameworks, safety

FinTech & payments

Ledger logic, payment flows, PCI scoping

Who qualifies

We only accept people who've done it for real.

  • Staff, principal, or senior IC with 8+ years in your domain — not self-assessed, verified by our team
  • Deep production experience: you've shipped at scale, not just reviewed it
  • You can explain findings clearly in writing, not just flag them
  • Professional credentials or a track record of consequential work in your field
  • Available to complete reviews within committed turnaround windows

We don't hire generalists. Every Fairy is matched by domain. A security engineer doesn't review financial models. Specialization is what makes the sign-off mean something.

Ready to join the Bench?

Applications take about 3 minutes.