The function $g$ must be a linear function.

The estimator $\hat{\theta}$ must be biased.

The function $g$ must be differentiable at $\theta$, and $\sqrt{n}(\hat{\theta} - \theta) \xrightarrow{d} N(0, \sigma^2)$.

The sample size $n$ must be infinite.