The Role
Coordinate data ingestion and vendor workflows to support AI research: manage dataset onboarding, track vendor deliverables and SLAs, route datasets for technical review, document data provenance and licensing, and maintain dashboards and pipeline tracking to ensure compliance and research readiness.
Summary Generated by Built In
Business UnitWhat the Role EntailsAbout the Role
We are seeking a Data Partnerships Specialist to support data operations and acquisition workflows for our frontier AI research initiatives. In this role, you will coordinate day-to-day data ingestion pipelines, track vendor deliverables, and facilitate communication between our AI research teams, legal counsel, and external data providers. This role requires strong project management skills, exceptional organizational detail, and a keen interest in the operational lifecycle of AI training data.Who We Look For
We are seeking a Data Partnerships Specialist to support data operations and acquisition workflows for our frontier AI research initiatives. In this role, you will coordinate day-to-day data ingestion pipelines, track vendor deliverables, and facilitate communication between our AI research teams, legal counsel, and external data providers. This role requires strong project management skills, exceptional organizational detail, and a keen interest in the operational lifecycle of AI training data.
Key Responsibilities
- Support Data Strategy Execution: Assist in translating research roadmaps into actionable data sourcing plans, helping to track and fill technical data gaps identified by algorithm leaders.
- Coordinate Vendor & Partner Relations: Serve as a primary operational point of contact for external data vendors and open-source communities—managing onboarding, tracking delivery timelines, and ensuring adherence to service level agreements.
- Streamline Data Evaluation Workflows: Manage the internal routing of external datasets for technical review, tracking quality benchmarks and utility metrics to accelerate research team readiness
- Maintain Data Pipelines: Facilitate seamless dataset onboarding by accurately documenting external data specifications and tracking their successful integration into internal pre-training pipelines.
- Assist with Data Governance Tracking: Work closely with Legal, Privacy, and Security teams to document data provenance, track compliance metrics (including CCPA/CPRA), and maintain clear logs of licensing terms and usage rights.
- Drive Operational Efficiency: Maintain internal dashboards, pipeline tracking tools, and documentation to maximize research velocity and ensure data operations run smoothly.
Qualifications
- Operational Background: Prior experience in high-leverage or fast-paced technical environments such as Technical Project Management, AI/Tech Operations, Data Licensing coordination, or business analysis.
- Detail-Oriented Project Management: Proven ability to manage multiple moving parts, keep vendor pipelines organized, and handle data tracking without losing oversight of details.
- Exposure to AI/ML Workflows: A foundational understanding of (or strong interest in) AI/ML systems, data generation pipelines, or human-in-the-loop (RLHF) operations.
- Clear Communicator: Strong verbal and written communication skills, with the ability to clearly pass requirements between technical teams, legal teams, and external partners.
Location State(s)
US-California-Los Angeles, US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $99,800.00 to $187,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at TencentAs an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Skills Required
- Prior experience in technical project management, AI/Tech Operations, data licensing coordination, or business analysis.
- Proven ability to manage multiple projects, vendor pipelines, and detailed data tracking.
- Foundational understanding of or strong interest in AI/ML systems, data generation pipelines, or human-in-the-loop (RLHF) operations.
- Strong verbal and written communication skills to coordinate between technical teams, legal, and external partners.
- Experience with data governance tracking, documenting data provenance, and tracking compliance metrics (including CCPA/CPRA).
- Ability to maintain internal dashboards, pipeline tracking tools, and operational documentation.
- Experience coordinating vendor onboarding, delivery timelines, and ensuring adherence to service level agreements.
Tencent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tencent and has not been reviewed or approved by Tencent.
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Healthcare Strength — Healthcare coverage is positioned as a standout, with strong PPO options and relatively low prescription costs highlighted for U.S. plans. This suggests the medical offering can be a meaningful component of the overall rewards package for U.S.-based employees.
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Retirement Support — Retirement support is framed as competitive in the U.S., with employer match details called out as an item to confirm in writing. This indicates retirement benefits can be a notable strength where applicable.
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Strong & Reliable Incentives — Performance-linked incentives and share-based awards are repeatedly included as part of the compensation model, alongside potential RSU and sign-on eligibility in certain roles. This points to total rewards often extending beyond base pay through variable and equity components.
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The Company
What We Do
Tencent uses technology to enrich the lives of Internet users. Our communications and social platforms Weixin and QQ connect users with each other, with digital content and daily life services in just a few clicks. Our high performance advertising platform helps brands and marketers reach out to hundreds of millions of consumers in China. Our financial technology and business services support our partners' business growth and assist their digital upgrade. We invest heavily in talent and technological innovation, actively participating in the development of the Internet industry. Tencent was founded in Shenzhen, China, in 1998, and listed on the Main Board of the Stock Exchange of Hong Kong since June 2004.
