this post was submitted on 28 Jun 2026
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Humans are error prone. That goes for both sides of these jobs. I mean the engineers who run these projects.
It's important to not get carried away with the allure of the tech industry. Especially the LLM hype. The people making these LLM models are human too. They're not unicorn tech wizards.
I've seen projects where the examples they gave us on what to submit were AI slop. They did not notice. By far the most common error with them is unclear and constantly changing guidelines. I've seen projects where their training videos were made by someone whispering nervously into the microphone. We had to crank the volume to hear them stumble over their words while trying to explain the project.
Ultimately most of these jobs exist to harvest data for projects that aren't that important. Forget about AGI or whatever. Think more along the lines of your weekend project. There's investor money right now so they have to use it.
They won't be paying people (read: impoverished third world countries) more than a few dollars an hour to grind out mountains of training data to feed into models. They're not chasing unicorns here. It's just slop generating LLMs. There's investor money so they have to use it. Why would they split more of the loot with clickworker tier peons.
Here's a bonus anecdote. One of the projects showed us literal shit in their training materials. A wet turd. I think it must have been a disgruntled employee. After hearing about how much Facebook employees hate working in the AI division, I think it must have been.
I really doubt the typical tech worker has that much conviction in LLMs themselves. It's just what's in style right now and it's what's getting them richer.
Very much this. The level of trust that these companies have in their models was shocking to me before I noticed just how much trust the general population puts into these things. I think that these companies, such as Google and OpenAI need to be held accountable when things go wrong. It should not alway be on the end user. They need to own up to their mistakes. AI needs to be regulated. We also need data privacy and data protection laws. It is insane that am AI can lock you out of all of you data without any human intervention. I know people will say that you should have back ups and I agree, but I that Trina a blind eye to the bigger problem of how much power has been given to these companies. I am particularly not a fan of Google and hope they get broken up, but that is another somewhat unrelated topic.