Ergonomic risks are a very important factor in the management of health and safety at work. Its identification in the organizational context has derived from the annoyances that workers have presented as part of the development of their functions over time and prevention has increasingly gained the attention of employers, integrating it as a central axis of the safety and security management systems. health at work. However, prevention plans have been established in a mostly subjective way, assessing the conditions of the position, therefore, the objective of the research is to design a real-time monitoring system through IOT for the measurement and analysis of data on the level of ergonomic risk of workers in the metalworking sector, thus strengthening prevention and actions aimed at the well-being of the employee and the company in general. With this intention, the prototype of an ergonomic device was designed which will be in charge of collecting data to carry out the continuous analysis of the movements carried out by workers when carrying out their tasks. The data analysis was carried out by applying the JSI (Job Strain Index) method, however, some qualitative aspects considered by said method were quantified, which provides greater assertiveness to the measurement procedure and makes the device an effective tool to reduce the percentage of error that is produced by the subjective appraisals of the evaluator. It is concluded that ergonomic risks can be addressed through the implementation of technology such as that based on IoT, at low cost and with a high positive impact on the efficiency of processes and the well-being of an organization's human resources.