AI freelancer price list: nine types of work and the range for each

AI freelancer price list: nine types of work and the range for each

94% of job listings state no budget — the freelancer names the price, and there is nothing to compare it against: across 6 502 posts in this niche, price guidance appears nine times. Below are the ranges for nine types of work from a scrape of 848 listings, the salaries for monthly work, and three rules for what to say when the client asks the price first.

94% of job listings state no budget — the freelancer names the price, and there is nothing to compare it against: across 6 502 posts in this niche, price guidance appears nine times. Below are the ranges for nine types of work from a scrape of 848 listings, the salaries for monthly work, and three rules for what to say when the client asks the price first.

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The client pays $9 for a clip and says that is above market

This is not a made-up example. That listing is in my scrape: somebody offering nine dollars for a short clip and adding in the same message that he pays more generously than his competitors.

The unpleasant part is that he may be honest. He sees freelancers agreeing and concludes that this is the market.

And freelancers agree because they have nothing to compare it against.

I run a Telegram channel with no announcements for the platform — purely out of interest in the subject. A year ago I did one live session and that was that. In August I decided to ask my readers directly what they do and what gets in the way — 62 replies.

The first of the reasons given for a skill not turning into money reads, word for word: *"I genuinely don't understand what people pay for, why they would pay, or how to get into this market."*

People can do the work: 45.2% use AI regularly. The gap is not in the skill — it is in having nothing to base a price on.

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Where my figures come from

I should explain what a scraper is here, otherwise the word means nothing.

Work involving AI is not gathered in one place. There is no marketplace everything arrives at. There are hundreds of subject-specific Telegram chats and channels, each producing one or two requests a day. Somebody needs a clip for social media, somebody needs product listings, somebody needs a bot to answer customers, somebody needs a website for a launch.

A person physically cannot sit in a hundred chats and track this by hand.

A scraper can. It is a program that walks those channels daily, takes every new listing and files it into one table: what the client needs, the type of engagement, the budget if one is stated, and where the message came from.

What it collects is then filtered by a model and sorted into categories: marketing and social, design, photo and video, automation.

What that produced in figures: 848 listings over 24 days, 13 categories, 29 unique requests a day from a single source.

The limits of this data

Let me say it up front so you know what to trust.

An explicit budget appears in only 6% of listings — 53 out of 848. In the other 94% the freelancer names the price.

By category there are between 2 and 15 observations with a budget. The overall median is solid; the per-line breakdown is a guide, not a measurement.

19% of listings are repeats: the same job posted under different names across a dozen channels. There are fewer real jobs than there are rows.

The scraper has no "development" category, so the share of websites and applications is understated by construction.

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Why you name a price blind

Worth working through the mechanics, because without them the figures below will not help.

First: 94% of listings have no budget. The client writes "send examples and a price" — and from there you guess in the dark while he compares your figures against others you never see.

Second: the niche says nothing about it. I went through 6 502 posts from eleven large channels over 19 months. Posts containing price guidance: nine. Nought point one per cent of the feed.

Not because the subject is uninteresting. Because teaching people which buttons to press is easier than teaching them to count money.

Third, and the most expensive: the price you name in your first message becomes your rate. The plan of "starting cheap and raising it later" does not work. A client who bought at $9 will come back at $9 and bring acquaintances with the same budget.

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Nine types of work and the range for each

| Work | Range |

|---|---|

| Editing supplied material | $12–35 |

| A single image | $12–35 |

| A short clip | $18–45 |

| A logo | $25–90 |

| A 2–3 minute animation | $25–110 |

| AI video end to end | $245–550 |

| A set of marketplace listing images (hero shot, angles, infographic — usually 6–10 images per product) | $245–730 |

| A multi-page website | $245–730 |

| A system or pipeline | $490–1 460 |

The median one-off job is $30–75.

Look at the seventh line. It is not one picture: a set for a product means the hero shot, several angles, and an infographic with specifications and use cases. A single image out of that same set costs $12–35, which is the first line of the table.

The difference between the first line and the seventh is not the quality of the picture. It is the unit of measurement.

What moves the price inside a range

This is my reasoning based on the scrape rather than a measured fact — flagged honestly.

Urgency. 13.3% of listings are marked "urgent". One of the few legitimate reasons to raise a price.

Long-term work. 21.9% of clients are explicitly looking for someone long-term, 20.3% mention ongoing volume. A first job with a client like that is not $25, it is a place in the queue for the next twenty.

Portfolio requirements. Portfolios are asked for in 46.6% of listings, experience in 1.9%. Twenty-four to one: the client does not care how many years you have been in the profession.

Type of client. A private individual counts money out of their own pocket, a business counts it out of a budget line. The same work for two different clients has two different prices, and that is not cheek.

A second column, and it must not be mixed with the first

Some clients hire not for a task but for a month:

| Role | Salary |

|---|---|

| Content assistant | $100–180 a month |

| Reels manager, online assistant | $365–490 a month |

| AI specialist | $610–850 a month |

A separate line: up to $610 for a finished clip on a per-piece basis — the top of the market for single-piece work.

You cannot add these two tables together. The first is a price per item, the second a price per month of work. But the second explains why hunting for jobs every week is not the only route: one client on a monthly retainer removes the need to search at all.

What to do about the 94% with no budget

Three rules that work with no negotiating experience at all.

The bottom of the range is your floor. Below it you are not negotiating, you are paying the client for the privilege of working.

Do not name an exact figure in your first message. Explain which parameters the calculation depends on — name two or three concrete ones — tie the cost to what the client already spends, and offer a short call with two slots to choose from.

Count your own costs. On pay-per-use, a generation is measured in cents and single dollars. The job brought in $40 and cost $3 — fine. The other way round, and the problem is not model prices but your process.

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Who to sell this to: ten niches

The price list answers "how much" but leaves the second question: "to whom". In the sales module, Sergey Molokov works through ten niches that need a deep audience breakdown: online schools, coaches, startups, small service businesses, info-products, online shops, freelancers, agencies, authors of physical products, financial companies.

What all ten have in common. Their revenue depends directly on the precision of their communication, which makes an audience breakdown not a nice-to-have but something their money rests on. Each niche and its need is covered separately: [What clients actually pay for](/en/blog/what-clients-actually-pay-for).

And the formula that changes your ceiling

Word for word from the lesson: you perform fewer actions because AI does 80% of them, but you take on more work — and earn more.

That is the answer to why you can take on jobs an ordinary specialist would turn down: not because your hands move faster but because volume has stopped being limited by your hours.

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The price list is half of it. The other half is being able to say it

The table above answers "how much to ask for". It does not answer what to do when the client asks the price outright before you have understood the task.

That is a separate skill, and it gets taught separately.

The sales module: ten lessons on the base plan

The Basic plan includes a ten-lesson sales module run by Sergey Molokov, a sales specialist with six years of practice.

What is inside: the top ten niches and how to talk to their clients, four client types and how to sell to each, handling objections, dealing with rejection, shaping an offer around demand, selling without case studies, the premium product, motivation and burnout, and a sales call taken apart.

On the four types specifically: Driver, Controller, Supporter, Analyser. One needs deadlines and tables, another scale and emotion, a third to hear that the team's life gets easier, a fourth a comparison of options and time to think. The same set of facts about you gets unfolded for a particular person, and the difference in conversion is not cosmetic.

And the reason to open this module first

I do not retell theory in there. I show how I sell, from beginning to end.

I find a real client through our bot in the job feed. I read his client type from the wording of the listing. I write the cover letter through an AI assistant. I answer the price question when it comes in cold. I run a fifteen-minute call to a plan. I have a model break down the recording of that call — including two mistakes of my own. I put together the quote and the proposal.

The outcome is a business positioning package at $1 900 a year. The client is Zakhar Fomin, owner of a dental clinic, who gave permission to use his name and the figures. Paid in full, with a CRM at $3 000–3 600 as the second step in the same proposal.

That is not a case study from a deck. It is the path from a chat listing to money in the account, recorded step by step.

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What to do today

One action, and it takes fifteen minutes.

Open your last three job applications and look at the price you named. Compare it against the bottom of the relevant line in the table.

If your figure is lower, you are not "starting small". You are setting a rate you will then have to live with across everyone in that client's circle.

The top end: what finished systems cost

So the ranges above do not look like a ceiling, here is what finished solutions cost — the kind a business buys as a product.

| Solution | Implementation price |

|---|---|

| Ad campaign analyst | from $240 |

| A 24/7 AI sales manager with CRM integration | $480 |

| Phone conversation analyst | $600 |

| Messenger conversation analyst | $360–1 200 |

| AI integration into a CRM | from $1 200 |

| Sales department call monitoring system | from $9 600 |

These are not abstract figures: all six are ready templates in the advanced automations section. They open pre-configured, you enter your own credentials following the instructions — and the solution can be sold.

What this changes about your price list. A one-off job at $30–75 and an implementation at $1 200 differ not in difficulty but in what is being sold: an operation, or a closed business problem.

What is already built for this

The bot with the job feed — the same one I use to find clients in the sales module. A daily sweep of the chats, filtering by a model, ready cards with the client's contact.

The ten-lesson sales module — four client types, objections, rejections, shaping an offer around demand, and a real deal taken apart from listing to payment.

More than 140 AI assistants across 14 categories — including the sales assistant that reads the client type from the listing and writes the cover letter. Ten letters in 5–10 minutes.

"Freelancer positioning" — a chain of seven assistants producing a niche, a client avatar, a portfolio and profile texts. Without a shop window a price list is useless: portfolios are asked for in 46.6% of listings.

How to get it

Registration is free and opens three days of full Basic access. The sales module, all the assistants, the prompt texts, the skill files and six foundational express courses — including "Freelancer positioning" and "Freelance 2.0".

Three days is enough to work through the positioning and send your first ten applications with a price you can defend.

Start not with studying but with one application at the new price. A price list only works when you say it out loud.

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What to read next

[The market in full: 848 jobs in 24 days](/en/blog/market-showcase-848-orders) — the whole scrape, with the category breakdown and the caveats about reliability.

["How much does it cost" — what to say](/en/blog/what-to-answer-about-price) — three techniques for when the price question comes in cold, before the task is clear.

[An itemised quote instead of buttons](/en/blog/quote-not-buttons) — how to break a price into lines so people argue with the lines, not the total.

[First money: five stories with figures](/en/blog/first-money-real-amounts) — a $24 logo and a $120 logo from two students of the same course.

[AI video generation in 2026](/en/blog/ai-video-generation-guide) — the full guide to video models.