Who collects your data when an AI interviews you

Four days ago someone opened a thread on a company page here on freehire. The whole post is a question:

I keep getting messages with links to their openings, and $1,500 for a referral if the person I refer gets hired. Has anyone actually heard of someone getting hired through this? It all looks like a way to collect data for training AI, especially considering that the interview itself is conducted by AI.

Nobody answered. So we went looking — through the companies’ own legal documents, court filings, funding rounds and five subreddits.

They were half right. And the half that is right is written down, in plain English, by the companies themselves.

This article is about your data: what gets taken, who takes it, why it is worth money, and what you can do about it.

1. What actually gets recorded

Most candidates assume an AI interview is a video call that gets transcribed. It is considerably more than that.

Here is the list, quoted from micro1’s Candidate Privacy Notice — a document separate from the privacy policy you probably clicked past:

Audio and video recordings of your AI interview sessions. Screen sharing recordings for technical assessments. Transcripts of your responses. Assessment scores and evaluation results. Behavioral and performance analytics (e.g., information collected from our proctoring tools to assess the integrity of your interviews).

So: your face, your voice, your screen, and telemetry about how you behaved while being watched.

That last line is the one nobody reads. “Proctoring tools” means something is monitoring you for signs of cheating — and whatever that produces is stored alongside the rest.

The document that covers this is not the one you think. micro1’s main privacy policy explicitly excludes the interview:

This Privacy Policy does not apply to candidates engaging with our AI interviewer (Zara). If you are a candidate for a role with micro1, please review our separate Candidate Privacy Notice.

If a company splits its policy like that, the interesting terms are always in the second document.

2. Who is collecting it

Three different kinds of company are running AI interviews right now, and people constantly confuse them. The difference determines what happens to your recording.

Type	Who	What they actually sell	Where your data sits
Labeling platforms	Outlier (Scale AI), Alignerr	Human labour to AI labs	Core to the business
Expert marketplaces	Mercor, micro1, Handshake AI, Turing, Surge	Vetted humans who train AI models	Core to the business
Interviewer software	Alex (ex-Apriora), Ribbon, HeyMilo, Fika, JobTwine, Humanly	An interview bot sold to ordinary employers	A by-product — but at enormous volume

The middle row is the one to understand. These are not recruiting companies that use AI. They are data companies that recruit. They pay people to write, grade and label the material frontier AI models are trained on. The interview is the turnstile onto that production line — not a step toward a job at a company.

micro1 is the clearest case: it started as an AI recruiter and became a data company. The recruiter is still there. It is now the front door.

3. What they are allowed to do with it

This is the part worth reading twice. From the same micro1 Candidate Privacy Notice:

We reserve the right to use de-identified information collected from interviews, including audio, video, transcripts, and assessment results, to train and enhance our proprietary machine learning models. For the avoidance of any doubt, we do not share your data, de-identified or otherwise, with AI model companies for the purposes of training their models.

Read carefully, that says two things:

✅ Your recording is not handed to OpenAI or Anthropic to train their models.
⚠️ Your recording may be used to train the company’s own model — the same interviewer that assessed you.

And this is a choice, not a technical necessity

If this were simply how AI interviewing works, everyone in the category would say the same thing. They don’t.

Mercor — a direct competitor, same mechanic, same market — publishes the opposite commitment in its talent documentation:

Your interview data will not be employed to train AI models; instead, we procure additional training data separately as required.

One company reserves the right. The other gives it up. Same market, opposite promise. That is what makes it worth knowing which one you are talking to.

4. Why your interview is worth money

The motive is not hidden. micro1’s CEO, Ali Ansari, posted it to LinkedIn in January. It got 968 likes:

human data will be a $1 trillion/year market

Behind that sentence:


Mercor	~$614M gross revenue in H1 2026, ~90% of it from AI labs. Reportedly raising at a $20B valuation, with Nvidia in talks for a stake
micro1	Gross run rate went $100M → $500M in eight months. Valuation went $80M → $2.5B after it pivoted from recruiting into data
The market	Each frontier AI lab reportedly spends on the order of $1B a year on human training data

And the volume that implies: micro1 says it runs 3,000+ AI interviews a day. Alex, which sells an interview bot to ordinary employers, says it has run over a million screening interviews.

At that scale, recordings are not a by-product of hiring. They are inventory.

5. What people who went through it say

We pulled the primary threads rather than the review-site summaries. Five companies, five dedicated subreddits: r/micro1_ai, r/mercor_ai (plus a separate r/FuckMercor), r/joinhandshakeai, r/outlier_ai, r/alignerr.

The striking thing is that the complaints have the same shape across all five: endless onboarding, removal from a project without pay, deactivation without explanation, months of an empty dashboard. That is the description of a process, not five coincidences.

The sharpest account is in r/RemoteJobs, titled “Beware of micro1”, 119 upvotes. The author describes themselves as a research engineer at two of the world’s largest tech companies, IIT Delhi, MS + PhD, IMO gold medalist:

Most of the high-rate projects there are most likely fake… I’ve wasted more than 8 hours in interviews with Zara, their AI recruiter.

Second comment, 48 upvotes:

micro1 just farms interviews. You are training their AI for free with the promise of a job that will never come.

Third, 20 upvotes — from someone who found the same document we did:

They use your face/video data… mention in their policies.

From r/outlier_ai, 129 upvotes:

I had been with Outlier for 10 months… Last week, they deactivated my account out of nowhere and told me that they wouldn’t pay me my pending earnings.

The other side, which belongs here just as much

Under those same threads:

I made 25k in less than 3 months as a generalist. So it’s not a scam per se. However, when you view this as a salaried position, that’s where the problems arise.

Projects vary widely. Some projects I’ve made $4 an hour, some $300 an hour.

You could be making 2k a week for a few months if you’re lucky… Then no projects for several months. Rinse and repeat.

The honest summary is not “nobody gets paid.” It is that the money is real and lottery-shaped, while the data collection applies to everyone — including everyone who never earns a cent.

6. What the law says about your recording

Here the person who opened that thread was more right than they knew.

In the EU, your consent may not even be the relevant question

Article 5(1)(f) of the EU AI Act has, since 2 February 2025, prohibited AI systems that infer emotions in the workplace. The European Commission’s guidelines explicitly extend “workplace” to candidates during selection and hiring — precisely because the power imbalance is already there before you are employed.

It is a prohibition, not a consent regime. Agreeing to it does not make it lawful. Penalties reach €35M or 7% of global turnover, and France’s CNIL has named recruitment a 2026 enforcement priority.

Where the line falls matters:

Sentiment analysis over a text transcript — outside the prohibition. Text is not biometric data.
Scoring your face, voice or body language for confidence, enthusiasm or “cultural fit” — inside it.

In the US, “de-identified” has already been tested in court

In Deyerler v. HireVue, the platform argued its facial scans were not biometric identifiers because they were not used to identify anyone. In February 2024 the Northern District of Illinois rejected that argument. The case settled for $3,750,000, with claims open until October 2026.

A de-identified voiceprint or faceprint is still biometric information under Illinois BIPA until it is actually deleted. Under GDPR, pseudonymisation is not anonymisation.

There is a further wrinkle worth knowing: collecting a recording under one lawful basis and later deciding to train a model on it is a new processing activity that needs its own legal basis. “We reserve the right” is not obviously that.

7. How to check before you press start

Not “avoid these companies.” People genuinely earn on them. Just know which transaction you are in.

Before the interview

Find the candidate-specific privacy notice, not the main policy. If the main policy excludes the interview, a second document exists. Search the site for “candidate privacy.”
Search that document for the word “train.” Thirty seconds. It is the single highest-value thing you can read.
Check what the role actually is. “AI trainer,” “generalist,” “data annotator,” “expert contributor” mean gig work labelling AI output — not employment at a company.

During

Notice what is being asked for. Passport or government ID before any offer. Proctoring that watches your face and your browser. These are choices the company made, and you are allowed to weigh them.

After

Ask what happens to the recording if you are rejected. A company that cannot answer that in one sentence has told you something.
In the EU, you can ask for deletion — and emotion inference in a hiring interview is prohibited outright, regardless of what you agreed to.
Treat it as gig work. Every balanced account we read said the same thing: the trouble starts when you expect a salary.

8. What we could not confirm

Being straight about this matters more than the headline.

“They post fake jobs” is testimony, not proof. The most-cited source for that accusation — a levels.fyi post naming micro1, Mercor and pesto.tech — contains no screenshots, no dates, no numbers and no examples. Two replies, one of them a joke. Almost every SEO blog on this subject launders that post. The Reddit accounts quoted above are more credible because they are specific and self-identifying, but they are still individual accounts.

Much of what you find searching this is written by interested parties — competing vendors and CV services with a reason to sharpen the framing. And note that most results for “AI interview scam” are about the opposite problem: fraudsters using AI to pose as candidates.

One inconsistency we can show directly. On 5 September micro1’s CEO announced the company was hiring 10,000 robotics trainers in seven days at $50–90/hour, “accepting applicants globally.” The company’s own account, in the same announcement, said it was “prioritizing English speaking and Western countries.” Commenters noticed:

which countries are considered western according to micro1 ???

I don’t think we Africans are given that many opportunities… it seems we are remembered when no one is available to take it, or the task is too hard.

Separately, MIT Technology Review reported in April that micro1 workers filming household chores for robot training were paid $15/hour, and that “none of them know how exactly their data will be used, stored, and shared with third parties.” The company declined to say whether that data is ever deleted.

The one-line version

An AI interview is not always a step toward a job. Sometimes it is the product — and the thing being produced is a recording of your face, your voice and your screen, which the company may be entitled to train on whether or not you are ever hired.

That is knowable in advance. It takes about thirty seconds and one search for the word “train.”

Disclosure

freehire lists micro1’s postings — 203 of them in the catalogue as of today — along with those of most companies named here. We aggregate what employers publish; that is the job. It also means we are part of the pipe this article describes, which is exactly why we would rather write it than not.

If you have been through one of these interviews and can show what happened, the company discussion threads are open. The thread that started this one is still sitting there without a reply.

Who collects your data when an AI interviews you — and why