Income models

AI model development services

「Credentials set the price」

The floor is high. So is the door — degrees and job history are doing the trust work here, and buyers read them.

Level 3

Select and implement a model for a client's problem. The highest price band on this list, and the highest barrier — what sells is a research and engineering track record, not tool operation.

Difficulty
5/5
To first revenue
A single engagement runs about two weeks. How long until you win one is not something we estimate.
Startup cost
₩100,000~1,000,000
Coding
a lot
Sales
some
Automation
2/5

We have zero cases with a verified earnings figure, so we do not invent a revenue range. What follows instead is arithmetic on published prices and official fee rates.

Where the money goes

One sale, start to finish — Single package

What the customer pays₩800,000

This is also the figure you report as revenue — not the amount that reaches your account.

The marketplace takes its cut
  • Service fee (16.4% / 9.4% / 4.4% 누진 구간)−₩124,200
  • Payment network fee (3.3%)−₩26,400
  • VAT on those fees (위 두 항목의 10%)−₩15,060
What lands in your account₩634,34079% of list
You remit VAT (registered business)

Output VAT ₩72,727 − input VAT on fees ₩15,060−₩57,667

Operating profit₩576,673

⚠️ Tool costs, your own labour and income tax have not been taken out yet. Individual (non-business) accounts handle VAT differently and cannot issue tax invoices at all.

The ceiling you cannot pass in a month

Published delivery days divided into the working month. Not what you can earn — the line you cannot cross alone.

TierList priceDaysMax/moRevenue ceilingOperating profit
Single package₩800,00014d1₩800,000₩576,673₩28,834/day

↔ Swipe sideways

What these numbers are, and are not

  • Nobody earned this. Not one listed case has a verified revenue figure.
  • List prices and delivery days come off the seller's page; fee rates come from the platform's own documentation.
  • “Max/mo” is division — 20 working days divided by the published delivery time. It does not mean orders arrive that steadily. In practice they do not.
  • Operating profit here is before tool costs, your own labour and income tax. Rework and refunds are not in it either.

Who you sell to

  • Companies needing an AI capability
  • Research and prototype teams

How the money comes in

  • Project engagements
  • Surcharges by data type

Steps

  1. Write down the data types you have actually worked with — this route starts from experience
  2. Frame the portfolio as problem → chosen method → validation, not as output
  3. Fix scope and handover items (source, accounts, access) in the contract
  4. Buyers are companies, so get the invoicing requirements in place first

Tools used

Claude API · Cursor · GitHub Copilot

Linked tools are ones whose pricing we checked and listed.

Risks

  • Lowest replicability here. Degrees and track record are effectively the product
  • Engagements are long, which makes running this alongside a job hard
  • Preparing training data eats most of the schedule — price it in or you lose money

Verified cases using this model

Compare with

Do this today

  1. Write down the data types you have actually worked with
  2. List only the services in this category with a three-day turnaround or less
  3. In one sentence, write what separates the expensive listings from the cheap ones

Run your own break-even →