With an increasing visibility of non-binary individuals, a growing number of language-specific strategies to linguistically include all genders or neutralize any gender references can be observed. Due to this multiplicity of proposed strategies and gender-specific grammatical differences across languages, selecting the one option to translate gender-fair language is challenging for machines and humans alike. As a first step towards gender-fair translation, we conducted a survey with translators to compare four gender-fair translations from a notional gender language, English, to a grammatical gender language, German. Proposed translations were rated by means of best-worst scaling as well as regarding their readability and comprehensibility. Participants expressed a clear preference for strategies with gender-inclusive character, i.e., colon.