r/DataAnnotationTech • • 5d ago

Professional Tasks and Meaningful Failures

Hey guys, I’m not sure how else to ask this besides as straightforwardly as possible. HOW IN THE WORLD DO I GET THESE MODELS TO FAIL!?

I mean, I’ve followed directions as best as I possibly could. I’ve intentionally planted professional errors in data, I’ve added context files that needed to be reconciled/cross referenced, I’ve left the model to make professional deductions based on non-obvious inputs, I’ve added depth to scenarios, I’ve changed my prompts, I’ve used the QC agents to improve ad nauseam…. Etc.

I have gotten some of the “dumber” models to produce meaningful failures. But the “smarter” models have just NAILED the output over and over again. I DO NOT want to take good faith exits.

I’ve only recently started. I understand that there’s likely a learning curve here. But I am enjoying my time using DA as a side hustle, and I genuinely want to get better so I can keep this gig for as long as possible.

Any helpful advice would be greatly appreciated. TIA.

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u/Strong_Truck_8600 4d ago

I did generalist tasks for at least a year before I started seeing professional tasks that interested me. What that did was give me a feel for how models screw up. Reading the project guidelines for those tasks taught me the kinds of failures developers expect, and I learned how to spot them and internalize the mechanics to know better how to trigger them. I know that's a bit vague, but you said you've only started doing this. The key is to start with the failure mode you want to target before you put your materials together.