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Trip.com Group · Beijing

# AI训练师（贷后催收AI应用）

Beijing Finance & Accounting 

Listed on Trip.com Group’s official careers site. Posted June 29, 2026. Check that it is still open and apply there.
[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ035749&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / AI训练师（贷后催收AI应用）

## Job description

负责贷后催收AI应用的数据准备、模型训练、标签规范、效果评估与持续优化，保障AI催收系统在真实业务场景中的准确性、合规性和可落地性。 主要职责 按照贷后催收业务需求，设计并执行训练数据采集与标注方案 制定并维护催收话术、场景分类、标签规范与数据标准 参与AI模型迭代流程，完成模型训练、校验、效果评估与上线验证 跟踪模型在生产环境中的表现，分析命中率、误判、漏判并提出优化建议 协调业务、风控、法务、运营等团队，确保AI输出符合监管和内控要求 构建催收知识库与规则集，持续提升AI对话策略和业务理解能力 执行训练过程中的质量控制，处理数据异常、标签歧义与模型偏差 任职要求 学历：本科及以上，金融、人工智能、计算机、统计、语言学等相关专业优先 经验：2年及以上贷后催收、客服、风控、AI标注、NLP训练或相关岗位经验 技能：熟悉机器学习/大模型训练流程，了解NLP基础与对话系统基本原理；掌握文本数据清洗、标注、质量检查、数据集构建与管理；能运用Python/Excel等工具进行数据分析与训练结果统计 了解贷后催收流程、征信规则、个人隐私保护与电信外呼合规要求 能力：能独立完成岗位规范操作、常见问题处理与质量检验；具备良好的沟通协调能力，能有效与产品、技术、业务和合规团队协作；具备责任心、规范意识及持续改进能力 优先条件 有贷后催收、信贷风控、催收外呼系统经验 有AI训练平台、知识图谱、RPA或对话机器人项目经验 熟悉金融行业合规要求及监管政策

## At a glance
- Posted by the employer: Jun 29, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 112 days
- Location: Beijing[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ035749&atsApiType=Moka)

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