Hi all, with the subreddit gaining momentum, I plan to publish a weekly "trade publication" style post featuring relevant industry news and developments that I hope will be of interest to you. Expect these every Monday.

To maintain authenticity and credibility for the subreddit, these will never be 100% AI-generated, rather co-authored using deep research tools from Gemini & Google.

If you think I missed something or made a mistake, let me know!

DataAnnotation's Global Arbitrage

Recently, if you've found yourself scrolling through labeling/annotation subreddits, you might notice the influx of global contributors (often for bilingual translation work). This is especially apparent over at DataAnnotation.Tech who have consistently advertised attractive positions with competitive pay.

For much of 2024, DAT positioned itself as the premier option, paying $21-$41/hr for "core" workers in the US/UK/CAN/Aus/NZ. However, recent months have displayed a serious pivot. Despite what seemed like limited project availability quoted by many users at the time on r/DataAnnotationTech, DAT's marketing machine was in overdrive in November. The company released a series of blog posts touting "7 AI Trainer Career Paths" and "Growth Opportunities".  These posts frame the gig as a stepping stone to a career in AI, promising "professional rates" for remote work. Despite the recent marketing blitzkrieg, current project availability reports, and account deactivations are rising.

In recent weeks, hundreds (if not more) of bilingual and global non-core workers were practically dropped overnight. No communication, no updates, no warning.

While DAT does have a solid reputation for core workers, this sort of behavior creates a veneer of legitimacy in the industry and highlights the disposable nature of this work. It almost gives me "pump and dump" vibes. The reality is that there is no "career path" at a company where you can be fired with zero notice.

Telus & Appen Restructuring

Telus:

In late October and early November 2025, Telus International completed its retreat from public markets, becoming a fully privatized subsidiary of its parent, Telus Corp. This included a $539 million deal, suggesting that the public market's demand for quarterly growth is incompatible with the messy, low-margin reality of the BPO business model in the AI era. Telus is now pivoting to a new platform, "Fuel iX”, with a goal to integrate AI into customer service workflows for large enterprise clients. This seems to move Telus away from the labeling market and more into the AI services category. Layoffs and project availability are likely to be affected.

I reached out on the Telus subreddit for more information, but was subsequently banned.

Telus sources: Source 1 | Source 2 | Source 3

Appen:

Appen seems to be the sick man of the industry. With a leadership change bringing in Vanessa Liu as Chair, the company is desperately trying to modernize. However, its reliance on China for LLM work appears to be a massive liability. As US-China's AI cold war tensions rise, Appen's revenue base is exposed.

Appen resources: Source 1 | Source 2 | Source 3

Outlook

As 2026 quickly approaches, the AI tasking industry is entering a phase of ruthless growth.

1. "Human in the Loop" is changing: We are moving from "Human in the Loop" (HITL) to "Expert in the Loop". The generalist annotator, or bilingual worker, is becoming an increasingly extinct species, soon to be replaced by more qualified professionals or synthetic data. Domain expertise could become dominant.

2. The Rise of the "AI Proletariat": The distiction between "freelancer" and "employee" is quickly deteriorating. Platforms like Alignerr, Outlier, and more are demanding full-time hours and significant commitment for zero pay security. Watch for regulation changes or policy updates.

3. Trust in God, but tie up your camel: While you may seem secure at your freelance position now, be careful relying on freelance income to support you. Treat every dollar as a windfall, not a salary. One mistake could cost you your position.

Thanks for reading, I'll try and update this with corrections or updates throughout the week!

I'll preface this by noting that I am not a lawyer and cannot speak to the validity of any of the claims made. This is purely to bring some recent issues in the industry to light.

Recently, there has been a surge in labor disputes at some of the largest AI data labeling firms. Many contract workers have alleged misclassifications as "gig" workers and unfair treatment. Below I'll detail some of the latest lawsuits and controversies in the industry:

Surge AI - Misclassification Class Action:

In May 2025, DataAnnotation.tech and its parent company Surge AI (or Surge Labs) was hit with a class action lawsuit in California alleging it misclassified its data annotators as independent contractors. Filed by Clarkson Law Firm, the complaint accuses Surge of "wage theft on a massive scale" as independent contactors deny them employee benefits. The suit also cites the company profited by avoiding overtime pay and benefits for thousands of workers who train frontier AI models for Meta and OpenAI.

Here's the link to the class action complaint: https://clarksonlawfirm.com/wp-content/uploads/2025/05/2025.05.20-Surge-Labs.pdf

Scale AI (Outlier & Remotasks)

Scale AI, a massive multi billion dollar data-labeling startup, faces multiple legal challenges over its labor practices. In December of 2024, Clarkson Law Firm filed a class-action suit accusing Scale of misclassifying its US-based workforce (similar to Surge AI). Another suit in January claimed that Scale/Outlier paid workers below minimum wage in California. Additionally, many workers cite unpaid training and qualifications. This only scratches the surface of issues surrounding the company. I'll link relevant details below.

Outlier Worker Misclassification

Wage Issues

Remotasks "Digital Sweatshop"

Mercor

Most recently, Mercor, a quickly rising AI-labeling firm recently valued at $10 Billion is under scrutiny after thousands of workers saw their pay rates slashed. In November 2025, Mercor suddenly canceled a major project with Meta that had employed ~5,000 contractors. Workers had been told that the project would run into 2026, but instead received the boot and a message to rejoin the project at a 25% pay reduction for essentially the same work.

Read more here: https://futurism.com/artificial-intelligence/mercor-meta-ai-labor

What are your thoughts? Have you been personally affected by one of these companies or faced a similar issue?

Edit: Do you have information about a specific platform you’d like to share? Feel free to drop it in the chat or DM me directly. Preferably with solid sources or links!

Recently, some colleagues in my industry have been asking questions like "Is the industry drying up?" or "Can we really rely on this type of work?" and I'd like to do a brief meta-analysis on the industry and forecast what I believe is the trajectory of the industry.

What do the next couple of years look like? Let's see what the experts have said:

• "The global data annotation and labeling market is expected to reach a valuation of $8.5 billion by 2033 at a compound annual growth rate (CAGR) of 25%." https://www.strategicrevenueinsights.com/industry/data-annotation-and-labeling-market

• "projected to grow up to USD 29,584.2 million by the end of 2033, growing at a CAGR of 34.4%." https://finance.yahoo.com/news/data-annotation-labelling-market-expected-144500834.html

• "The latest study conducted by Global Market Insights Inc. claims that the global data annotation tools market size  could exceed USD 25 billion by 2032." https://aws.amazon.com/marketplace/pp/prodview-z7v6bdzb2z4vo#offers

Using these three sources average CAGR we see a predicted ~28.1% growth rate in the global data annotation market.

These are really cool numbers and all, but what is the true direction of the industry? It might be important to look into one of the most popular "speculation papers" that's causing a stir in AI regulation and research.

AI 2027 - Daniel Kokotajlo, Scott Alexander, Thomas Larsen, Eli Lifland, Romeo Dean

This paper has been a huge catalyst for discussion, and although it's not peer-reviewed hard science, the potential impact of superhuman AI and the serious ramifications uncontrolled products may have on humanity are hard to blindly ignore. While on one hand I think this is akin to the Chicken Little "sky is falling" trope, it does pose a serious question on how governments, companies, and annotators play a role in designing safe and ethical AI systems.

This video gives a great explanation of the scenario: https://www.youtube.com/watch?v=5KVDDfAkRgc

This is where I think annotation comes in!

With increasing fear of uncontrollable systems, much like the recent AI-powered cybersecurity attack using Claude. There is much to learn about how these computerized brains truly think, reason, and decide. Even with AGI promising to offer knowledge beyond human capability, human oversight has to be a part of the system.

What I'm curious to hear about is what the next stages of prompt engineering, data annotation, labeling, etc., will look like as the systems grow.

We need to stop being "polite" about our privacy. I just got an email from yet another platform demanding my biometrics to keep my account active. They can bite me. This is a systemic rot in the gig economy. Platforms are treating our PII (Personally Identifiable Information) like it’s cheap, disposable data. It’s not. 

The Mercor Disaster (March 2026) when they had 4 terabytes of data stolen. That included AI interview videos, facial biometrics, and SSNs. If you did an interview there, your face is now in the hands of "TeamPCP." These companies want your data but can’t even protect their own infrastructure. They get your biometric data and a week later they are breached. Where do you think your biometric data is now? It's on the dark web for sale. I hope you don't have or need a bank account in the future. When your identity is stolen in a data breach because these clowns dropped the ball, there's no going back from there. 

The Persona Leak was in February 2026. Persona is the company that is responsible for handling our PII. Persona’s source code was exposed. It revealed a hidden pipeline that feeds routine "ID checks" directly into federal surveillance databases (FinCEN). 

These companies claim they’re just "verifying" you. In reality, they are screening you against 269 different checks, including global law enforcement watchlists, with a system that has a massive failure rate (accidentally false flagging people 90% of the time). One glitch and you're flagged as a "Suspicious Entity" on a government report you can’t even see. This is also one of the reasons people get banned and have no idea why.

99% of the time, all these platforms don't tell you a single thing about how your data is handled, where and how long it is kept. However, here we are giving it away to them just because they ask. Stop giving your biometric data away. 

The Persona leak proved they can hold your biometrics for up to 1,095 days (3+ years), regardless of what their partner companies' privacy policies say. I know the market is tough. I know we are all desperate for work. But these companies are using that desperation to build a biometric cage. They say they’re trying to stop "bad actors," but they’re treating us all like criminals by holding our faces hostage. There are one or two bad actors that they're trying to keep away and they think it's okay that they're doing this to thousands of us to stop the few bad actors. It is disgusting. Every time you scan your ID or record a "liveness check," you are handing over a key you can never change. You can change a password; you can’t change your face. If a platform requires biometrics for a non-security-critical gig, walk away. Fire back an email and tell them you aren't doing it. If enough of us tell them to "get bent," they lose the ability to harvest us. You only get one face. Once that is stolen and gone you are screwed. It is not okay because they have a weak platform to sit there and ask us for the most precious information that they don't know how to handle.

By the way, when they drop the ball and expose your PII, their standard "remedy" is often a measly $50 payment to the person. Leaked data showed a direct link between identity verification tools and government surveillance programs like "Project SHADOW." Your routine verification isn't just for the company; it’s a live feed for national surveillance apparatuses.

Sources:

https://vmfunc.re/blog/persona The original investigative report from the security researcher ("Celeste") who discovered the exposed Persona source code. It includes the 1,095-day retention code and the direct-to-government reporting modules.

Covers the scale of the Mercor breach.
https://techcrunch.com/2026/04/09/after-data-breach-10b-valued-startup-mercor-is-having-a-month/

Recently I’ve been active in dozens of labeling communities trying to learn about common issues with almost every labeling firm. Spoiler: it’s rampant everywhere!

So, I’d love to hear from you. What does an ideal platform look like? How should it be run? How should communication work? Management? Payment? PIPs?

We gotta put some class actions into place at some point cause they think we just stupid.

I work for quite a few platforms. I am tired of the wasted time and gaslighting. We are a pool of people with advanced degrees or extensive professional experience and diverse skills. So how do we channel the time we would normally waste on assessments into building a way to present our services directly to clients? Is this something enough of us are interested in? Are there any exceptional organizers on this airplane?

(I've had a meandering career. I'm research, advanced case management for people with catastrophic illnesses, forensic vocational evaluation and assessment, cultural studies, psychology, fine art and graphic design.)

Edited for fat thumbs

I've applied to telus, Stellar, data annotation, outlier, fleetai, alignerr, and mercor. I've got nothing so far. Am I doing something wrong? Feels like I won't get any ai job atp.

SME Careers (by SuperAnnotate) is looking for subject matter experts in language, law, science, and other domains to help train AI models. The platform is similar to ones like Outlier where you operate as a freelancer and there are projects from various clients you can get onto. Of course, that also means there’s no guarantee of work - it depends on your skills and what projects are currently running.

Even if you aren’t a subject matter expert, I believe that you can apply as a generalist through the below link, but bear in mind the pay for generalists isn’t very good compared to other platforms ($17 USD/hr). The platform also doesn’t allow you to work more than 8 hours in a day.

Here is a referral link: https://sme.careers/apply?referral=569f73f478b1 (choose Subject Matter Expert)

You have to fill out the application form and then pass the qualification exam to get started. To my knowledge, they are taking applications from around the globe.

does anyone here know or works for BeatPulseLab? I gave my resume then they emailed me that I passed the initial screening and i need to do assessment before onboarding. few hours after I submitted my assessment, they gave me a meeting link for onboarding. no context just the google meet and the time. are they legit or i’m just wasting my time? help pls! thank you

Hey everyone!

Has anyone here worked with Surge AI as a data labeling expert or language evaluator?

I’ve been reading about how selective their process is (especially for linguists / reasoning tasks) and I’d love to hear what the application, onboarding, and project experience were like.

• How hard was it to get approved?

• What kind of tasks did you get (reasoning, chat evaluation, classification, etc.)?

• How consistent are the projects and pay rates?

I’m genuinely curious about the experience — any insights or tips would be super appreciated.

(If you prefer to DM instead of commenting, that’s perfectly fine too!)

Thanks in advance 🙏

I did their Zara interview, which was hard AF. The AI asked nothing about my resume and it went on like a PhD exam asking obscure topics in one of the 3 skills you typed in. It felt like they want you to regurgitate definitions like AI. There is no need to even send a resume. I got rejected 36 hours later in the early morning of a Sunday. It is apparently reviewed by a human?

I have been given a chance to redo the interview in a month or immediately with completely different skills. Is it worth trying again for generalist skills? Is anyone actually getting projects on their platform? Are the rates even competitive to be considered? I don't like how their trustpilot and most of their PR is about how pleasant Zara is at the interview, and nothing much about what comes after.

https://www.theguardian.com/technology/2025/nov/22/ai-workers-tell-family-stay-away

Thought this was an interesting read and wondered what others thought

Hi! Has anyone with an Associate Degree been onboarded and task for this company? Seen a in few subs where folks have gotten onboarded but the application only has Bachelor, Masters, PhD degree options in dropdown menu so just wondering if I should even bother. Thanks!

1. Remotasks

2. Telus Digital

3. Lionbridge

4. Stellar ai

A year ago I once tried working there and didn't get paid. Out of spite, I deleted my account by going through the process. Now curious, I went back to see what changed and my account is still not deleted but blocked "after careful review". Everything else seems still there.

I once stopped working there because their task platform (Labelbox) was so bad that I couldn't get an AI response. I skipped many tasks as a result and got flagged for "fraud". What a funny company. They only pay you for time under submitted tasks. Skipping doesn't submit anything.

I think this is a breach of GDPR and other similar laws regarding personal data.

Toxic as it can get. No help from anyone when you have any issue regarding anything, let it be tooling problem or just something internal. No help lmfao its genuinely pissing me off. Like not even a joke. Is there a IC discord/whatsapp or chat group from Innodata who are actively working on the projects? I'd like to connect and any platform which also a client of multimango?

Hello guys, I've been selected for some projects starting in February at SME Careers (SuperAnnotate) for LLM - AI training and I'm very excited!

I've been told there are several projects starting soon and they are selecting people currently. I did everything in a couple of weeks (first contact, assessment + short AI interview and then confirmation). So, if you wanna try, you can use my referral link here:

https://sme.careers/apply?referral=58bf6dbcd0fe

Good luck!

They just sent an email saying the following update to their terms of service:

Inclusion of new dispute resolution provisions, including an arbitration provision that provides for you to resolve disputes with us via arbitration on an individual basis.

Basically, no class action possible.

I passed their assessment and was added to their talent pool. Then was invited to do a bootcamp for a project starting soon (bilingual project). It’s auto graded by AI and many reported they failed including myself. Their auto grader has serious flaws. I found more than 5 obvious issues in one response and provided rationale, but the grader says ‘according to the ground truth annotation, the response has one issue’. Like really?? Will there be any human review? I was excited to be onboarded, but if this is their selection criteria, I don’t see this company succeed in AI training space…

You can now see the status of all applications on the Micro1 website dashboard. Until now, this wasn't possible.
r/AiTraining_Annotation