生成式AI数据运营负责人
Lead Program Manager- Generative AI Data Operations
关于 Welo Data
Welo Data 是 Welo Global 品牌，是全球基础实验室和企业部署 GenAI 系统的多语言数据和评估合作伙伴。他们提供人类判断、数据基础设施和评估系统，确保 AI 模型在各种语言、文化和现实场景中可靠运行，从训练到部署的每个阶段都能保证性能。其全球 500,000+ 名经过认证的专家网络覆盖 300+ 种语言和本地化环境，支持从大型语言模型、语音和语音系统到代理工作流、机器人和具身 AI 的全谱现代 AI 应用中的高质量多语言数据创建和结构化模型评估。这种语言、文化和领域专业知识的广度使 Welo Data 能够解决关键的 AI 开发挑战，包括安全、偏见、包容性和跨语言可靠性。由专业项目和质量专家领导的统一全球运营模式，基于评估驱动的人才选拔、本地化评分标准和持续校准，确保在各种语言、领域和模态中保持一致的性能。所有这些背后都有 NIMO™（网络身份管理与运营），Welo Data 自有的身份和防欺诈框架。NIMO 旨在维护全球贡献者群体的数据完整性和员工信任，结合高级验证、持续监控和结构化 QA，确保每个数据集准确、可追溯且具有文化根基。welodata.ai
职位编号：#LI-JC1
职位概述
在大规模上领导 AI 训练数据项目计划。负责项目级别的战略和交付，管理跨职能团队，并作为该计划的主要客户关系负责人。与首席质量经理紧密合作，保持质量一致性，并推动高吞吐量运营的持续改进。
主要职责-
项目战略与规划：在多个项目和供应商之间定义项目目标、路线图、里程碑和运营模式。
团队管理：带领一个交付团队（项目经理、协调员），设定明确的目标、容量计划、指导和绩效反馈。
客户负责：作为日常执行联系人；进行治理、计划和 QBR 风格的评审；对齐范围、优先级和变更。
质量合作：与质量经理共同负责质量成果；对齐指南、审计和验收标准
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About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Job Reference: #LI-JC1
ROLE OVERVIEW
Leads a program of AI training data projects at scale. Owns program-level strategy and delivery, manages a cross-functional team, and is the primary owner of the client relationship for the program. Partners closely with the Lead Quality Manager to keep quality consistent and drive continuous improvement across high-volume operations.
Key Responsibilities-
Program strategy & planning: Define program goals, roadmap, milestones, and operating model across multiple projects and vendors.
Team management: Lead a delivery team (PMs, Coordinators) with clear goals, capacity plans, coaching, and performance feedback.
Client ownership: Act as the day-to-day executive contact; run governance, planning, and QBR-style reviews; align scope, priorities, and change.
Quality partnership: Co-own quality outcomes with the Manager of Quality; align on guidelines, audits, acceptance criteria, and corrective actions.
Scale & throughput: Plan and secure rater/annotator capacity; optimize shifts, handoffs, automation, and tooling to meet high-volume targets.
Financial stewardship: Build and manage budgets, margins, and change orders; ensure commercial and delivery commitments stay aligned.
Risk, issue & change control: Maintain program RAID; lead root-cause analyses and remediation; escalate high-impact items with options and impact.
Process improvement & automation: Standardize SOPs, templates, and dashboards; pilot and scale automation with Ops Tech.
Compliance & security: Ensure policy adherence for data handling, privacy, and platform access across the program.
Stakeholder management: Coordinate with Sales/Account, Quality, Operations, and Vendor Management to meet client and business goals.
Requirements
Education- Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field.
Experience-
5-8 years leading large or multi-workstream delivery in AI data, content review, labeling/annotation, or adjacent domains.
Proven program-level experience in high-volume environments, including vendor management and capacity planning.
Record of managing client relationships and running governance cadences.
Skills-
Program planning and portfolio governance across multiple projects.
Team leadership: goal setting, coaching, delegation, and performance feedback.
Strong communication with senior client stakeholders and internal leaders.
Solid use of spreadsheets, PM/task boards, and BI dashboards; familiarity with SQL/ETL concepts is a plus.
Quality mindset with practical use of SOPs, QA gates, and acceptance criteria.
Sound judgment on scope, time, cost, and quality; confident negotiation and escalation.
Comfortable working with global, distributed teams (advanced English).
Scope & Autonomy-
Manages a single program/team end-to-end, setting operating rhythms and standards within agreed policies and budgets.
Makes day-to-day and tactical strategic decisions for the program; escalates only non-standard or high-impact items.
Direct line management for PMs/Coordinators and dotted-line influence over cross-functional partners.
Owns the client relationship for the program and partners with the Lead Quality Manager on outcomes.