r/AiTraining_Annotation

I'm looking for Data Annotation / AI Training platforms that currently have a **fast onboarding and approval process** for Egyptians.
I need something that doesn't keep you on a long waitlist for months. Which platforms are actively hiring and accepting applicants from Egypt right now?

Don’t work HH pay isn’t there for scope of work. Or…., they were supposed to shoot out remaining tasks from Om… and nothing.

Applied for projects in dashboard now most are gone but one.

They could just give us a heads up so we aren’t hanging on waiting but my guess is they need us to be here when they get things together?

Any insight so I can stop losing the last bit of hair I have on my head?

Only alerts I get are from “employers” posting jobs and I think that’s probably bs scraped listings, not real employers. I can bet on it because one I work full time and they wouldn’t use handshake to hire ppl. Js

End vent

Today I passed the Claude Certified Architect exam and have received a certificate and badge for it.

Now what should I do with it?? Should I apply for jobs?? Open my own AI Consultancy??

Would like go hear from the community that what is your motivation of getting certified and what is the best way to get the most out of it.

Also, would this help me land a job in Anthropic or OpenAI

I've been stuck on persona verification for months now and I just got the option to retry it. Everything went fine until the end, when it said I failed. The reason given on the website is 'We detected a VPN or a proxy'.

I wasn't using either of those, just wifi. Has anyone else had this issue? I'm nervous because I only have one more try available, and support has never responded so I don't expect help from them.

If you’re looking for a solid way to make extra money on your own schedule, AI data annotation and RLHF training are actually incredibly viable options right now. You’ve probably seen some of the crazy hype on social media promising easy thousands, but the reality is much more grounded. It’s an excellent, high-flexibility gig economy option, but it definitely comes with its own headaches. The biggest selling point is that you can truly log on and work from anywhere at any time, and the baseline pay for general writing and evaluation tasks usually beats out standard food delivery or rideshare apps without putting wear and tear on your car. Plus, you get a front-row seat to how major language models are being shaped behind the scenes, which is pretty cool if you're into tech.

That said, we need to talk about the flip side because the industry can be deeply frustrating if you go into it blind. The main drawback is that the work is entirely task-based and project availability can fluctuate wildly, meaning you might have an amazing week followed by a stretch where you're stuck in an empty queue waiting on a new allocation. The onboarding assessments on platforms like DataAnnotation, Outlier, or Alignerr can take weeks to hear back from, and the communication from corporate support is notoriously slow and opaque. You’re essentially working in a silo, and when project guidelines suddenly change or a project channel disappears overnight, you’re left to figure out the technical changes completely on your own.

You don't need a computer science degree to get started, but you do need a solid level of baseline technical literacy, sharp logical reasoning, and excellent writing skills. Generalist roles usually require you to fact-check statements, write complex prompts, and explain in meticulous detail why one AI response is structurally or factually better than another. If you have a background in areas like coding, mathematics, or legal writing, you can unlock much higher-paying specialized tiers, but even at the entry level, attention to detail is everything. If you’re tired of trying to figure out these platform guidelines by yourself or just want a transparent space to share vetted leads and compare pay rates, hit me up or drop a comment below and I'll send over an invite link to our community Discord so you don't have to navigate the grind alone!

Hi everyone. I'm building a company focused on providing human data for AI training, and I'd like to connect with people who work in this field. We're putting together a team of annotators to create datasets for response comparison, preference ranking, RLHF, SFT, and model evaluation. The goal isn't to produce data at the highest possible volume, but to deliver consistent, well-reviewed evaluations, because at the end of the day, that's what really impacts a model's quality. We're still in the early stages, and I'd like to better understand how companies training LLMs or AI agents are handling this today. Do you do everything in-house? Do you outsource it? Is it difficult to find people who can provide truly consistent evaluations? If you work in this field, or know someone who might need this kind of service, I'd really appreciate the opportunity to talk. I'm also open to suggestions on where to find companies looking for this type of operation. Any advice or suggestions would be greatly appreciated.

Wishing you all the best!

Most people jump into data annotation expecting easy money. Here's what actually happens:

1. Quality over speed always wins
Platforms track your accuracy score religiously. One bad batch can restrict your account permanently. Slow and accurate beats fast and sloppy every time.

2. Instructions change constantly
What was correct last week may be wrong today. Always re-read guidelines before starting a new batch even if the task looks familiar.

3. Your first week will be slow
Learning the platform, understanding edge cases and building speed takes time. Don't measure your earnings in week one.

4. Specialization pays more
General text annotation pays $2-5/hour. Medical, legal or technical annotation pays $15-30/hour. Pick a niche early.

5. Never rely on one platform
Projects dry up without warning. Always have 2-3 platforms active simultaneously.

What else do you wish someone told you earlier?

Hi everyone!

I have Workada referral invites available. If you’re interested in applying to Workada for AI data labeling/training work and would like a referral, leave a comment or send me a DM.

I’ll share referrals on a first-come, first-served basis. Please make sure you meet Workada’s eligibility requirements before applying.

Good luck to everyone with your applications!

If anyone got project D, then please read the project docs carefully before attempting the assignment. You will surely pass. Happy to got my first project in handshake🙌

Most people don’t get accepted into AI training platforms because they approach it the wrong way.

From my experience, it’s not about being “good enough”.

It’s about how you approach the process.

What worked for me:

• I did many assessments, even for lower-paying roles
• I added every small experience to my resume
• I followed guidelines very carefully (this matters more than people think)
• I avoided copy-paste completely
• I applied to bigger platforms too (like Mercor, Micro1), even if they’re harder

The biggest shift was this:

You’re not applying for one job.
You’re building a pipeline.

At any point, I usually have:

• ongoing applications
• pending assessments
• new platforms to try

Over time this leads to:
more access → more projects → more stability

It’s not fast, but it works.

I wrote a short guide here if anyone’s interested:
https://www.aitrainingjobs.it/how-to-get-accepted-ai-training-platforms/

Hi everyone,

I joined a number of AI Training platforms a while ago, including Outlier, Appen, Toloka, UHRS, Taskverse, clickworker and Data Annotation. I passed several generalist qualifications on these platforms, however I haven't received any work yet. On Data Annotation, I received the DoD only one week after qualifying without ever having any tasks available to work on.

I'm based in the UK and was really hoping that AI training work would be a good opportunity for me and the solution that I have been looking for. I'm currently unemployed and have been struggling to find work that is suitable for me as an autistic person.

I'm wondering if anyone is in a similar situation at the moment or if there are any platforms that could be worth me joining as I am feeling a little discouraged.

Thank you :)

Recently I've come across this query on many platform.

Here is what I think:

First of all, healthcare data is a completely different beast. Building an AI solution for medical data quality isn't just about fixing duplicate records or filling in missing values. To build an AI-powered model to turn messy data into clean and accurate training data, you need a large volume of representative and relevant medical data.

There are challenges involved in collecting medical data for research, analytics, and AI models. Here are some of the biggest ones:

• You need access to large, diverse, and representative patient datasets from different hospitals, regions, and healthcare systems to build a reliable model.
• Clinical notes tend to be messy -- doctors' handwriting, abbreviations, and local terminology can make identification and standardization extremely difficult.
• Medical coding standards also evolve regularly, so your system has to keep up with those changes.
• And because healthcare is heavily regulated, handling sensitive patient information means de-identification, privacy, and compliance aren't optional but crucial.
• Staggering ambiguities in clinical data still require domain experts to validate and resolve.

These are areas where healthcare data annotation companies, who work with AI companies, have already invested heavily.

Give it a thought when you are looking to build a model.

What do you guys have to say?

One of the fastest ways to lose access to AI training platforms is getting banned.

And it happens more often than people think.

From what I’ve seen (and experienced), most bans are not random.

They usually come from a few mistakes:

• using multiple accounts
• sharing accounts or using VPN tricks
• not following guidelines properly during tasks
• copy-pasting answers (in some cases)
• inconsistent or low-quality work

Many platforms track a lot more than people realize (IP, behavior, patterns), so shortcuts usually backfire.

There’s even a growing black market of accounts being sold or shared, and companies are actively banning those users.

The reality is simple:

If you want to stay on these platforms long-term, you need to treat them seriously.

Follow guidelines, work cleanly.

https://www.aitrainingjobs.it/how-to-avoid-getting-banned-on-ai-training-platforms-2026-guide/

FORMING A GROUP OF 6

Looking for a group of weed people who want to get paid to talk online for AI training field. You will be paired up with someone from the group and be paid by the hour to about any topic you like on a call, the more hours you put in the higher the pay!

FAQ:
Why would I pay that?
I'm not, I'm also getting paid to talk with you while on the call :)

Why weed smokers specifically?
I'm interested in forming a group specifically of weed smokers because it's easier to connect while on call. Conversations cannot be scripted, so having some fun and genuine connection with a friend is the type of environment I wish to create.

Why am I getting paid for this?
The conversation is being recorded, and you will have a visual timer. The recordings are manually checked; however, all private info (names, address, personal info, etc) will be scrapped. None of the recordings are leaked to the public and are only reviewed by the founders' private team.

Is this a scam?
NO! I am real i swear. The company I work for is upcoming. I've recruited other people before and they've already gotten their payout (screenshots provided to applicants)

Requirements:
- USA, UK, CA (ONLY, NO OTHER ACCENTS)
- Be okay with working with a EST-timezone partner
- Age range: (18-24)
- A quiet space to call
- Stable internet
- A phone, Laptop, or Computer

Forms of payment:
Paypal
Bank Transfer

How to apply:
Dm me or comment

Just wanted to share a new platform I’ve been looking into recently (with referral link):

👉 https://www.aitrainingjobs.it/handshake-ai-training-jobs-2026-pay-roles-how-it-works/

It’s Handshake AI, and it’s part of a larger US-based career platform used by universities and early-career professionals.

From what I’ve seen:

• AI training / evaluation work
• Fellowship-style (you apply → get matched to projects)
• Pay can be quite high (some roles $75–$150+/hr, even higher for specialists) (Handshake)
• Focus on more “qualified” profiles (not basic microtasks)

Important things to know:

• Mostly US-focused (you usually need US work authorization) (Handshake)
• Work is NOT guaranteed (project-based, like Mercor / similar platforms) (fonzi.ai)
• Selection can be quite strict

This is NOT a typical data annotation site.

It’s closer to “expert-based AI training work”

Meaning:

• less volume
• higher pay
• but harder to get in

If you have a background in:
• STEM
• Finance
• Law
• Writing / content
• or any specific domain

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.

I can give out 5 referrals a day for the data annotation website. Please comment or message me if you’d like a referral code—they expire after 10 days. Please make sure you are ready to apply when I give it to you. Priority to those who have experience in law, medicine, finance, STEM, or coding.

Let me know if anyone needs application tips :)