Just wanted to understand more on what you want to achieve?what are you regressing with? Give bit of a context pls.
Its ideal to have continuous variables for the logistic regression than binary variable. If you create variables like is_JobSatisfactionLevelMedium, it will be boolean in nature but still can be treated. I prefer to have the continuous variables in nature.
For the salary option, have you considered binning? You can be bit scientific on your approach and plot a histogram to see how the salary looks like in your data set and then consider binning accordingly?
I am quite new to data science and the approach what I suggested may be quite naive.
If your Variable has Four Types, then you have to convert this variable into categorical.. for that,You don't have to label anything.
And, If your variable has outlier, then you should remove those outliers from the variable before applying the model.
Hope, this will help.