We propose a jackknife variance estimator under two-fases sampling with unequal probability. We assume that the parameters of interest and its stimators can be expressed as a function of means. We propose a jackknife estimator for each component of variance. We demonstrate that the estimator is consistent for the same asymptotic variance as the linearization estimator. Also we support this result with a simulation study.