[Bug Report] "Complete with labeling errors" and wrong labels in the output

**Link to the notebook**
Add the link to the notebook. I do not have a notebook but my settings file is available [here](https://drive.google.com/file/d/1IQBMUQIAclx3K9wjufcGtIk7GzItvMuw/view).

**Describe the bug**
I came up on 2 issues when using SageMaker for an image labeling task that had 6252 images to label using Private Workforce - I assigned them to myself as a first test.

My job status was "Complete with labeling errors" with only 5853 / 6252 = Labeled / total dataset objects
I labeled the objects over 4 days and thus 3 expired at the end of each day so I expected to have 3 dataset objects missing but not 399. What could the reason for this be?

When looking at the output labels quite a few (hundreds) of them are clearly wrong - given that I labeled them all myself this is impossible (I may have missed 1 or 2 but not hundreds) so could this be related to the issue above. What else could have gone wrong with this?

Thanks so much!!

**To reproduce**
A clear, step-by-step set of instructions to reproduce the bug.

**Logs**
If applicable, add logs to help explain your problem.
You may also attach an `.ipynb` file to this issue if it includes relevant logs or output.

Start with the linked settings file and the reported SageMaker Private Workforce labeling task. Reproduce the 6252-object run, compare the 5853 labeled objects with the expected expirations, and inspect the resulting output labels and available logs; done means identifying a reproducible cause for both the missing objects and incorrect labels.

Written by the indexing model from the issue text.