Dark matter is a theoretical form of matter that doesn’t interact with light or conventional matter despite its large expected abundance in our universe. One potential candidate for dark matter, predicted in models, is weakly-interacting long-lived particles (LLP). The ForwArd Search ExpeRiment (FASER), located in the Large Hadron Collider (LHC) at CERN, uses detectors to search for LLP produced in proton-proton collisions. Upon hitting the detectors, particles generate electronic hit signals that are used to reconstruct the decay products of LLPs. Analyzing these tracks may offer insights into the properties and characteristics of LLP. The FASER detector is made of four tracking stations: 1, 2, 3, and interface tracker, each comprising of three layers with eight Semiconductor Tracker modules in each layer. Due to the imprecise installation of these tracking stations, misalignment occurs preventing accurate track reconstruction. To address this issue, I aim to execute an iterative local Chi-square alignment test to determine alignment parameters for each station individually and collectively using previously collected FASER data. I hypothesize that modules will have improved residual values and sensitivity after alignment.