Responsibilities
1. In-depth understanding of AI big models, and a deep understanding of big model data and the ideal state of AI content creation 2. Responsible for the construction and management of the entire life cycle of big model training data, including but not limited to data research, data construction, data background product design, data and algorithm evaluation system construction and data channel construction and maintenance 3. Based on the principle of big models, you can sort out the training data suitable for big models, and you can take on the data needs of upstream and downstream, and work with R&D to formulate data quality standards to form specifications to guide data evaluation, labeling and data cleaning, etc. 4. You can accurately understand the needs of production and research, and continuously produce high-quality content that meets the ideal state through methods such as PE.
Qualifications
1. Bachelor degree or above, more than 3 years of experience in artificial intelligence related product operation or more than 5 years of experience in search engine/document/Q&A and other data product operation 2. Those with experience in the construction and operation of big model training data are preferred 3. Excellent logical thinking and analytical skills, with keen data awareness 4. Have a good understanding of the big model industry, and have in-depth experience or have used big model products such as Kimi, Wenxin, Doubao, GPT4, etc. are preferred 5. Understand and master PE skills, and have experience in debugging big models and producing high-quality content.
