If you can deduce the worst possible MAE in your particular situation, you can divide the MAE you actually get by this, which will scale your MAE to the interval [0,1], with a perfect fit mapped to 0 and the worst possible MAE mapped to 1.
However, often there is no upper bound to the MAE. Fits can often in principle be unboundedly bad. In such a situation, you cannot scale your MAE to any predetermined interval linearly. Of course you could non-linearly scale it by
$$ \text{MAE} \mapsto \frac{2}{\pi}\arctan(\text{MAE}), $$
which does map any MAE to [0,1], but I would rather doubt that this would be very enlightening.