Ionic-liquid-based polyelectrolytes, or polymerized ionic liquids (PILs), are a special class of polyelectrolytes having advantageous properties of ionic liquids. Previous studies have found that the electrostatic interaction and therefore the number of dissociated counterions govern the conformation and dynamics of PIL chains in solutions. Herein, we investigate the effect of the solvent dielectric constant ε r on the effective charge fraction f eff for a model PIL, poly(1-butyl-3-vinylimidazolium bis(trifluoromethanesulfonyl)imide) (PC 4 -TFSI), by measuring the shear viscosity of the PC 4 -TFSI in a series of non-ionic good solvents with dielectric constants ranging from 7.9 for tetrahydrofuran to 178 for N-methylformamide. For a given molar concentration c p of PC 4 -TFSI monomers, the specific viscosity η sp decreases monotonically with decreasing ε r . In the semidilute unentangled regime, the dependence of η sp on c p in solvents at high ε r follows the scaling law of η sp (∝ c p 0.5 ) for salt-free polyelectrolytes in good solvents, but its scaling relationship gradually shifts toward the scaling law of η sp (∝ c p 1.3 ) for charge neutral polymers in good solvents as ε r is decreased. Moreover, the c p dependence of η sp in solvents having different ε r falls onto a single curve by adding an ionic liquid as salt ions to screen the charges on PC 4 -TFSI chains. These results indicate that the effective charge fraction on PC 4 -TFSI chains decreases with decreasing ε r , in good agreement with the predicted trend by the Manning counterion condensation model. As a result, we demonstrate that the counterion condensation takes place in PIL solutions, indicating an ability to control the properties of PIL solutions simply by changing the solvent dielectric constant. Because PILs have recently attracted significant attention with a wide range of applications for batteries, molecular separations, and antimicrobial, our results can provide useful information about the rheological properties of PIL solutions, optimizing processing operations for PILs and thus PIL-based material design with improved system performance.