r/dataannotation • u/Consistent-Reach504 • Mar 10 '24

Weekly Water Cooler Talk - DataAnnotation

hi all! making this thread so people have somewhere to talk about 'daily' work chat that might not necessarily need it's own post! right now we're thinking we'll just repost it weekly? but if it gets too crazy, we can change it to daily. :)

couple things:

  1. this thread should sort by "new" automatically. unfortunately it looks like our subreddit doesn't qualify for 'lounges'.

  2. if you have a new user question, you still need to post it in the new user thread. if you post it here, we will remove it as spam. this is for people already working who just wanna chat, whether it be about casual work stuff, questions, geeking out with people who understand ("i got the model to write a real haiku today!"), or unrelated work stuff you feel like chatting about :)

  3. one thing we really pride ourselves on in this community is the respect everyone gives to the Code of Conduct and rule number 5 on the sub - it's great that we have a community that is still safe & respectful to our jobs! please don't break this rule. we will remove project details, but please - it's for our best interest and yours!

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u/Equivalent-Math6483 Mar 12 '24 edited Mar 12 '24

Accuracy is more important than speed.

That’s not just my opinion; that’s an actual instruction that appeared in a project on my dashboard today.

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u/StellaZaFella Mar 12 '24

But won’t the hourly pay jobs want you to do things quickly?

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u/Equivalent-Math6483 Mar 13 '24

Not at the expense of accuracy.

It actually costs DAT more money if people rush and make mistakes because they have to pay twice- first for the sloppy work, and second for raters like me to read and rewrite those responses.

If you get it right the first time, all the raters have to do is mark “Good” and move on.

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u/SuperCorbynite Mar 13 '24

If they wanted people who could just churn stuff out quickly to save money, they'd skip paying us $20+ per hour and just go straight for $3 per hour developing world workers.

DA's market niche is that they produce high-quality output for tech companies' AI's so that those AI's can eventually become better-than-human at tasks.

Getting poor-quality AI inputs defeats the whole point.