Subjectivity within most job evaluation techniques brings about challenges and pay inequity; therefore analytical decision making tools should be applied for ranking professions. This problem should be considered as a multi attribute decision-making problem. A Fuzzy Analytical Hierarchy Process is proposed to prevent inequity problem and analytically support managers in job evaluations in this research. As a case study professions from metal industry are evaluated with respect to three factors consisting of eleven sub-factors. The AHP is used to determine job evaluation criteria weights. The vagueness and subjectivity of managers are taken into account by linguistic parameters of triangular fuzzy numbers. The most important three sub-factors are identified as education, product responsibility and work environment. Five different salary groups are determined depending on analysis. Numerical analysis reveals the advantages of F-AHP in differentiating various jobs, where F-AHP provides satisfactory results for a reliable payment system.