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hello Fediverse! how do neurodivergent peeps get jobs?
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this post was submitted on 22 Feb 2026
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That's exactly what my main income is these days. I signed up with DataAnnotation a couple of years ago, chipped away and started getting more access to a bigger pool of higher paying projects. I get online whenever it suits me, do work, claim time, get paid. No meetings or time wasting.
It's not perfect, feedback is minimal, technical issues exist, but the flexibility is such a huge advantage that it's hard to give up. It does mean you're contributing to the whole AI... situation. My moral justification is that we're actually making the models better at sticking with what they're good at, and getting more efficient with it.
Specific professional skills like legal seem to be in high demand too. I'm a software engineering specialist, but they keep giving me finance projects just because I have that domain on my resume. They also gave me some referral codes specifically requesting legal, medical, and STEM pros. I don't know if using my codes would give you an advantage in the application, but I guess it couldn't hurt. DM me if you want one.
My moral justification is that no matter how much work we seem to do for them, the models don't seem to be getting any better and that General Purpose LLMs must be fundamentally broken and can't be fixed because the way they come to correct answers is literally the same way they come to incorrect answers. ¯\_(ツ)_/¯
When I started doing this work it was scary how fast they progressed. I thought I'd be redundant in a few months. Then they hit a wall very hard. The models might even be getting worse now. That could be my perception because a big part of the job is steering them toward failure and correcting the mistakes, so now I'm in the habit of exploiting their weaknesses.
They aren't going away, but if we can figure out the niches where they're actually useful, maybe the big AI companies will stop pretending LLMs are a digital panacea.
Which is why I call out "General Purpose LLMs" as the real problem. When they are given very specific, very narrow guidelines and training, they are actually often exceptional tools! It's the idea that they need to be an all-purpose-tool that does all jobs all the time that needs to be put to bed.
Gosh I hope so, because if we can get them to accept that as tools they're only useful in very tightly specific scenarios, we might actually get some real use out of them!
I am actually pro-AI, but anti-corporate-AI and general purpose AI. I view them as tools like any other, it's who is using them and how that makes the difference. A hammer can be used to build a house, it can also be used to crush someone's skull. Currently, corporations want to use AI to crush all of our skulls.
Infinite monkey theorum?
You either straight up lying or have no idea how any of it work and are incapable of using it at all. There are demonstrable improvements in every model and everytime people meme aboyt shir it camt do those mems are lost on the next iteration. Remenbef when it couldnt draw hands. Remember when it could code a single line. Remember when it couldnt produce viable video. Its a technological god of the gaps argument. Ands its less and less convincing as the years roll on amd the gaps disappear.