Decision making as a term is present in all aspects of life, whether it concerns professional or private matters. It is possible to determine decision making as a choice between two or more alternatives that are aimed at achieving a specific goal. In economic terms, it plays the most important role in the functioning of enterprises. There are various situations under which the decision-making process takes place, such as ‘'decision-making under certainity conditions’’, ‘'decision-making under risk’' and ‘'decision-making under uncertainty’'. In the case of decision-making under uncertainty, the decision-maker does not know the likelihood of some outcomes wherefore the decision-maker can use multi-criteria decision-making methods. Multi-criteria decisionmaking can be considered as a complex and dynamic process that involves the managerial level of decision-making, but it can also be applied to decisions in everyday life. The process solves problems of choosing the best alternative in cases where there are multiple attributes or criteria. This thesis explores the possibility of using multicriteria mathematical AHP (eng. Analytic hierarchy process) methods for the purpose of deciding on the choice of the optimal seasonal job. Multi-criteria analysis simplifies the decision-making process and makes it transparent under the use of AHP in order to make the problem of choosing a seasonal job as easy as possible.