This study examines optimality conditions and dual problems for a category of uncertain nonsmooth semi-infinite multi-objective optimization issues. Initially, the definitions of the strictly generalized convexity and the strictly \varepsilon-quasi generalized convexity are presented. Secondly, the sufficient optimality condition for the \varepsilon-quasi solution is established under the strictly \varepsilon-quasi generalized convexity conditions utilizing the Clarke subdifferential. Finally, Wolfe-type dual problems of \varepsilon-quasi weak and \varepsilon-quasi solutions are established under the generalized convexity and strictly generalized convexity conditions, respectively, weak dual theorem, strong dual theorem and converse dual theorem are studied. The results acquired enhance the theory concerning uncertain nonsmooth semi-infinite multi-objective optimization issues.