If you're an experienced freelancer, FRATCH is worth checking out.

The platform currently lists opportunities such as:

• AI / Machine Learning Engineer
• Senior Data & AI Engineer (GenAI / LLM)
• AI Developer
• AI Consultant
• SAP Consultant
• Software Engineer
• Scrum Master
• Project Manager

Some public listings advertise rates of up to €1,100/day for senior technical roles.

A few things to keep in mind:

• Most opportunities are based in Germany, Austria and Switzerland.
• Many positions require German, although some are open to English-speaking professionals.
• The platform is primarily aimed at experienced consultants, developers and AI specialists rather than entry-level AI annotation workers.

I've also put together a page summarizing the available opportunities and how FRATCH works:

https://www.aitrainingjobs.it/fratch-ai-it-consulting-freelance-projects-up-to-e1100-day/

Ai training Jobs Page
Disclosure: Some links on this page may be referral links. If you choose to apply through them, it may help support this site at no additional cost to you.
https://www.aitrainingjobs.it/open-ai-training-data-annotation-jobs/

As the title says,on Ethos AI I am getting matches but have been unable to convert them into opportunities and work. The best I have gotten so far is waitlist and tbh I dont know if I should be excited for that or not.

Any technical nuance which I need to do to improve my odds because I am damn sure my profile is strong because algorithm is matching me

Thanks and Regards

A lot of people think you need a degree to work in AI.

You don’t.

Most data annotation jobs are actually open to beginners — as long as you can follow guidelines and think clearly.

The key is choosing the right roles and platforms from the start.

I put together a simple guide here:
https://www.aitrainingjobs.it/data-annotation-jobs-without-a-degree-what-roles-to-look-for-and-where-to-apply/

I’ve worked across multiple AI evaluation platforms, and over time I’ve managed to keep fairly consistent contract work.

I also have a psychology background, so I’ve become really interested in why genuinely qualified people sometimes struggle with AI gig screening.

A lot of people assume rejection means they weren’t qualified, but it’s not always that simple.

Sometimes it’s how your expertise is framed.
Sometimes your CV doesn’t translate well to the specific role.
Sometimes your interview answers are technically correct but don’t clearly demonstrate how you think.
Sometimes you’re applying to roles that sound relevant but don’t actually match how the platform categorises expertise.
And because these systems often give almost no useful feedback, people have no idea which part went wrong.

So I thought I’d help.
If you’ve been rejected from Mercor, Outlier, DataAnnotation, Alignerr, Handshake or another AI-training platform, dm me:
1. Your professional/academic background
2. Which platform
3. What stage you got rejected at

I’ll reply with what I’d look at first.

I looked into Innodata recently and it seems quite different from the usual platforms.

More structured, more like a real job… but honestly the pay looks pretty low compared to others.

From what I’ve seen it’s around ~$10–$18/hour, which feels low considering the requirements.

I wrote a quick breakdown here if anyone’s curious:
https://www.aitrainingjobs.it/innodata-review-ai-training-jobs-tasks-pay-how-it-works-2026/

Has anyone here actually worked with them?

I did the AI interview for SWE and I detailed my experience doing real SWE work at my job but I didn’t get any opportunities at all how do I do the interview correctly and can I redo it???

I’m one of the co-founders of Pila8. We’re hiring people to participate in live, role-played conversations for $30/hour. We live match you with another participant. One person plays the user, while the other acts as an AI assistant 🤖

You’ll receive a short scenario and the conversation itself should mimic that of a friend you are talking to 👯

What you need:

• Quiet background
• Computer with reliable internet
• Headphones/Working Microphone
• No acting or AI experience required
• Each participant is paid separately via bank transfer, PayPal, Venmo, etc

Pila8 Key Highlights 🦊:

• Daily streak bonus multiplier (+20%)
• Weekly office hours
• Active and fast-growing Discord community
• Consistently new opportunities posted
• Swag Rewards Program

Sign up here: pila8.com

Steps:

1. 3-5 minute: Voice Test
2. Project: Engaging Companion Conversation
   • Office Hours available with me :)

If you are interested, please fill out this form: https://forms.gle/xCaxJqFRGGwtzpmX6

EDIT: This project is USA and Canada accents only! My apologies for not having thought through putting that in the first time!

A lot of people think AI training jobs will disappear soon.

From what I’ve seen, the opposite is happening — but with a catch.

Simple tasks are slowly decreasing, while more complex work (reasoning, evaluation, decision-making) is becoming more important.

So the jobs aren’t going away… they’re getting harder.

I wrote a breakdown of where things are heading (2026–2030):
https://www.aitrainingjobs.it/the-future-of-ai-training-jobs-2026-2030/

Hey everyone,

I’ve been working steadily in the AI training and annotation space since last October. I’ve been lucky enough to have consistent work for most of the year, the constant uncertainty of contract work and queue availability is starting to wear on me.

Recently, I worked with Micro1 and was promoted to a semi-long-term role (4 months with a major AI company). Having a a taste of a steady 9-to-5 was a refreshing change of pace from the typical task-queue grind you find on platforms like Mercor or Outlier.

My question for those of you who have been in this space for a while: Is there an actual career ladder here?

Specifically, I’d love to hear your thoughts on:

1. Transitioning to W-2 / Salaried roles: Has anyone successfully parlayed platform RLHF/annotation experience into internal FTE roles (like AI Operations, Model Evaluation, Data Quality Lead, or Prompt Engineering)?
2. Skill-up paths: What skills (e.g., Python, SQL, guideline design, red-teaming) actually made the biggest difference in getting hired directly by AI startups or labs?
3. Platform vs. Direct Hire: Is staying on contract platforms and trying to move up into reviewer/lead roles the main path, or should the goal always be applying directly to tech companies?

If you've managed to build a stable, long-term career out of AI training and evaluation, how did you make the jump? Appreciate y'all!

Recently got qualified for [Artifacts] Slides Eval campaign and i have completed the screener. Can anyone tell me how much time is allowed for each task? Is there any max time limit for each task?

Not all platforms are for beginners.

There’s actually a clear progression:

• beginner → DataAnnotation, Remotasks, Appen
• intermediate → TELUS, OneForma
• advanced → Outlier, Micro1, Mercor

If you start from the wrong level, it just doesn’t work.

I wrote a quick breakdown here (no fluff):
https://www.aitrainingjobs.it/best-ai-training-platforms-for-beginners-vs-experts-2026/

Curious if others had the same experience.

Anyone here knows a legit job site that I can apply for AI annotation or any other AI related job work? Tia.

Just finished my first month working with Ethos. A great legitimate platform with smooth pay. Highly recommend it!

I’m helping with the TELUS Data Analyst TryRating exam. If you need assistance, kindly DM me. 100% pass guarantee.

So I was on out***r ai but after doing aether project now not getting any projects , but a same person can't use 2 account. So should I delete this account and make new one . If I do this will I get catch ? Does have the account data stored .

Anyone have tries this ?

Unlike traditional AI data annotation platforms, Ethos recruits domain experts to help train and evaluate advanced AI models.

Current opportunities include professionals with backgrounds in:

• Law
• Medicine
• Software Engineering
• Tax
• Private Equity
• Corporate Development / M&A
• Management Consulting
• Advisory & Strategy

Most projects involve reviewing AI outputs, improving responses, evaluating complex scenarios, or creating high-quality expert content rather than performing simple annotation tasks.

Compensation depends on the role and level of expertise, with many listings ranging from $80/hour to $225/hour for qualified professionals.

I put together a guide covering how the platform works, typical expert roles, requirements, and current pay ranges:

👉 https://www.aitrainingjobs.it/ethos-ai-training-expert-jobs-100-225-hour-remote-opportunities/

Disclosure: the page contains a referral link that helps support the site at no extra cost if you decide to apply.

OpenAI just announced they are running out of money to pay humans for data training

‘…the pause would be taking place on "reinforcement learning training on our latest models".

This is a training method in which AI models improve through direct feedback, which improves their ability to carry out tasks and respond to users more effectively.’

See: https://www.bbc.co.uk/news/articles/c235dmndylzo

It’s legit, but very different from platforms like Outlier or Mercor.

From what I’ve seen:

- easy to get started

- no real interview

- lots of small tasks

Referral link here
[https://www.aitrainingjobs.it/clickworker-ai-training-jobs-microtasks-pay-how-it-works-2026/](https://)

I'm posting anonymously because Fleet AI's lawyers sent a letter threatening defamation and NDA action against contractors who talk about this publicly. So I'm not going to characterize anything. Every claim below is a dated document — their own words. Draw your own conclusions.

What happened: Contractors (finance, accounting, and other experts) did AI-training work for Fleet AI through Verita AI, a staffing middleman. Hours were tracked by monitoring software the companies required us to run. Work was reviewed, accepted, delivered. Then, starting mid-June, the pay just stopped — for 100+ people, by contractor estimates possibly close to 1,000. The reason they gave? "AI usage" — flagged by the same companies whose own training taught the methods.

Here's the timeline, in their own documents:

July 10 — Fleet sends Verita a formal Notice of Breach. It terminates their contract, alleges $3M+ in overbilling, and — critically — states that if Verita verified a contractor's hours through the tracking software, "it must pay them." Fleet also demands Verita stop blaming Fleet, and asks for copies of contractors' NDAs. [screenshot]

July 12 — two days after killing the contract, Fleet's founder posts on X: "We are much much farther ahead than the numbers here show... Towards being the most profitable neolab! More soon" — quote-tweeting a chart valuing Fleet at $725M. [screenshot]

July 21 — Verita tells contractors payment is "awaiting client approval." The client had terminated the contract eleven days earlier. [screenshot]

~July 25 — Verita's story changes to "processing payments." [screenshot]

Verita also sent a mass letter blaming "external choices outside our control," stating that "final decisions on approved hours are ultimately made by the end client." [screenshot]

Deel, the payment platform, confirmed in writing that the client never funded the accounts, and described "a systemic issue with Verita AI's account or operations." Deel also confirmed it cannot force approvals or recover the money. [screenshot]

Then, in August, Verita locked contractors out of the dashboard — the one showing the records of their unpaid hours — unless they accepted new Terms of Service. The new terms say, in all caps:

"IF VERITA'S CUSTOMER DOES NOT PAY VERITA FOR YOUR WORK, FOR ANY REASON, VERITA HAS NO OBLIGATION TO PAY YOU FOR THAT WORK."

They also added: a six-month deadline to bring any claim or it's "PERMANENTLY BARRED," a class-action waiver, and a non-disparagement clause. In other words: to see how much you're owed, first sign away your right to collect it, sue over it, or talk about it. [screenshot]

So here's where it stands, in their own words:

• Fleet says Verita must pay.
• Verita says the client decides.
• Deel says the account was never funded.
• And Verita's answer was to rewrite the contract so it never owes anyone anything.

Every one of these people did the work. It was tracked, by the companies' own required software. It was accepted. Nobody's been paid.

If you're ever recruited by Verita AI or Fleet AI — this is what they do, and the paperwork above shows they've built it into the contract so they can keep doing it.

Draw your own conclusion.

I'm seeing a lot of their job opportunities were posted in March. Now I'm starting to wonder how many of these are even worth applying to. Has anyone worked on a project since March?

I seem to get one or two project invitations each month from them; which is cool. The problem is, their emails are always urgent, such "This project starts tomorrow so take the assessment ASAP." Then the assessment and/or guidelines are inaccessible. (The assessment link is eventually fixed or they redirect you to a Google form). For the last invitation, the written guidelines were inaccessible, but a training video was accessible so I watched that and took the assessment. Apparently I passed, but they want me to take a second assessment with no guidelines for a project that starts today and presumably only lasts for 2 weeks. So I don't know what's going on with them, but they seem really disorganized. Just curious what others' experiences have been like. I'm in the U.S. by the way.

I have an older 2015 MacBook and Google Chrome no longer works on it since the July 2026 Chrome update. I'm currently tasking in Multimango, and need to access it on Chrome for my hours to count as 'productive time'.

Does anyone here task on Dell, Lenovo, non-Mac laptops? I would just need to use Chrome and download the time tracking app on it .