Formatting df's multi index

I have a multi-index dataframe used in a block of code. It's index looks like this:

MultiIndex([('American Indian or Alaska Native',   '1-4 years'),
            ('American Indian or Alaska Native', '10-14 years'),
            ('American Indian or Alaska Native', '15-17 years'),
            ('American Indian or Alaska Native', '18-19 years'),
            ('American Indian or Alaska Native', '20-24 years'),
            ('American Indian or Alaska Native', '25-29 years'),
            ('American Indian or Alaska Native', '30-34 years'),
            ('American Indian or Alaska Native', '35-39 years'),
            ('American Indian or Alaska Native', '40-44 years'),
            ('American Indian or Alaska Native', '45-49 years'),
            ...
            (                           'White', '55-59 years'),
            (                           'White', '60-64 years'),
            (                           'White', '65-69 years'),
            (                           'White', '70-74 years'),
            (                           'White', '75-79 years'),
            (                           'White', '80-84 years'),
            (                           'White',   '85+ years'),
            (                           'White',     '1 year'),
            (                    'COUNTY_LABEL',            ''),
            (                'RaceGroups_Total',            '')],
           names=['Race', 'Age'], length=142)

but I need to it be in a different format to work with the block of code that I have. I need it to be formatted like this:

MultiIndex([(                            'Race',                  'Age'),
            ('American Indian or Alaska Native',            '1-4 years'),
            ('American Indian or Alaska Native',          '10-14 years'),
            ('American Indian or Alaska Native',          '15-17 years'),
            ('American Indian or Alaska Native',          '18-19 years'),
            ('American Indian or Alaska Native',          '20-24 years'),
            ('American Indian or Alaska Native',          '25-29 years'),
            ('American Indian or Alaska Native',          '30-34 years'),
            ('American Indian or Alaska Native',          '35-39 years'),
            ('American Indian or Alaska Native',          '40-44 years'),
            ...
            (                           'White',          '50-54 years'),
            (                           'White',          '55-59 years'),
            (                           'White',          '60-64 years'),
            (                           'White',          '65-69 years'),
            (                           'White',          '70-74 years'),
            (                           'White',          '75-79 years'),
            (                           'White',          '80-84 years'),
            (                           'White',            '85+ years'),
            (                           'White',              '1 year'),
            (                'RaceGroups_Total', 'Unnamed: 141_level_1')],

I am new to Pandas and very new to multi-indexing. Right now the solution I have is to export the df to a csv and then read it in as:

r3=pd.read_csv(rC:\Users\myusername\Desktop\r3.csv, header = [0,1])

but seems like a gimmicky solution. Is there an easy way to reformat this df? Thanks!