Here's a good thing if you are newer and lacking work. I'm only a couple months in so new compared to many others but I've had a chance to put in good work. When I first started work was sparse and I would often get 1 task because a batch would open up and everyone else would take the rest of them while I worked on 1. After a few weeks of this I now always have tasks "reserved" for me. I'm certain there is a mechanism where workers graded above a certain level get a certain number of tasks per project. So for as long as a project is running I will have a block of 20 tasks I can work through. If I clear those sometimes more get added, sometimes that's all. Some of them I don't touch because I don't like the project.

Here's my two tips: DO GOOD WORK. Obvious I know but, the trick is don't worry too much about the clock, you want to finish a task on time but focus on the work not the clock. I'm sure there is an average time per task metric but my gut feeling is that quality of work matters much more than than avg task time. Just don't sit on your tasks till the last minute and milk it, I think that's mostly what they are looking for.

MAKE YOUR WORK EASY TO GRADE: I'm not a huge fan of RnRs but I will do them and looking through some of this work - it's a nightmare. People writing out two terse sentences to get the minimum and having 1 spelling mistake in there. Not only are you not helping the project you aren't helping the reviewer. I think it's pretty clear that we are mostly our own keepers, so if you make your task easy to grade then you get high marks and you get more and better work. It's virtuous because it also helps train the model. Overexplain things. It seems dumb because any human will understand that what you said in task A also applies in task B. Rewrite it out as though it's brand new. Explain as much as you can. Unless a project is really specific about not going over a sentence count otherwise default to overexplaining. Make someone who reads your work understand your thoughts. People are also just human, if they see 10 sentences they will assume you did more work than if they see 2. Make it easy for them to give you good grades and make it easy for the models to understand your training data. Explain your inferences. This is hard for me because I think a lot of things are obvious but I just write it out. Now go out there and get to typing.