Responsibilities
1. Responsible for the evaluation of different versions of the model and branch effects, output data, and comprehensive text reports to drive model optimization 2. Responsible for establishing training accuracy indicators for each stage of the model, assisting technology in completing problem location and problem disassembly, and assisting in achieving machine learning indicators 3. Follow-up Carry out the model testing and online process, and continue to pay attention to the impact of the model and the resolution rate of negative cases 4. Observe industry trends, conduct various surveys, bottom-up, and analyze needs through internal and external clues, and output product optimization conclusions 5. Monitor internal and external user feedback , handle VIPcase in a timely manner, classify and analyze data problems and experience problems, and output problem collection reports.
Qualifications
1. Master's degree or above in science, engineering, and business majors, and bachelor's degree is required for those who are particularly outstanding 2. Certain English ability is required : College English CET-6/IELTS 6.5 or above, study abroad experience is preferred 3. Experience in data annotation or participation in annotation and evaluation related to large model training is preferred 4. Programming or K12 mathematics, physics and chemistry teaching experience is preferred.