This paper studies the talent evaluation system based on big data technology, which involves the big data management technology field, including the client and data processing server. After users fill in the status information with the client, the data processing server classifies users and makes all users in the same category evaluate each other. The final evaluation of a user is calculated by multiple post evaluation data processing servers based on the evaluation model established according to big data. After the user’s status information changes, the processing server recommends the appropriate industry or work unit to the user according to the changed status information. The talent evaluation system based on big data technology in this paper can collect the real evaluation of users and calculate the final evaluation of users. At the same time, this paper proposes an industry recommendation method based on LSTM with attention mechanism to provide employment guidance for users. Experimental results show that the method proposed in this paper makes the results of talent assessment more widely used.