Responsibilities
1. Deeply understand the AI big model, have a deep understanding of the big model data and the ideal state of content, and participate in the formulation of legal vertical standards and rule iterations 2. Based on product development and business needs, complete the docking of legal direction-related standard work, and be responsible for data labeling, quality inspection and strategic operations 3. Through methods such as PE (prompt word engineering), produce high-quality content, improve project labeling efficiency, and ensure data quality 4. Collaborate with product R&D to thoroughly analyze the prominent issues of the big model in the legal vertical category, explore and formulate solutions, and carry out special breakthroughs 5. Responsible for answering questions related to law, and provide accurate and authoritative conclusions through legal retrieval, similar case inquiries, etc. 6. Adapt to the rapid switching between businesses, and continuously learn and master various new annotation logics and methods.
Qualifications
1. Full-time law undergraduate or above, with A certificate in the bar exam, master's degree preferred 2. Flexible thinking, good legal thinking logic and solid legal skills, with 2-3 years of experience in the legal industry 3. Priority will be given to those who have worked in large model products, product operations, Al trainers, data cleaning and management, data labeling and other related workers 4. Have a good understanding of the large model industry, and have in-depth experience or use of large model products such as Kimi, Wenxin, Doubao, Tongyi Qianrui, etc. Priority 5. Understand and master PE skills, have experience in debugging large models and produce high-quality content 6. Strong communication skills, strong self-drive, stress resistance and learning ability, reliable work, and embrace change.
