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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Partnerships Specialist - **Company:** Tencent America - **Location:** Los Angeles, CA, United States - **Salary:** $80,168.0 - $149,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Auditing, Data Governance, Document-Oriented Databases, Open Source Technology, DataOps, Technical Data Management Systems, Data Strategy, Machine Learning Operations, Data Pipelines, Data Generation - **Published:** June 28, 2026 - **Apply:** https://www.dice.com/job-detail/dd5b8645-25bc-416b-be21-27cd839614ba ## About the Role * 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. ## Description 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., * 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. ## Related Videos - [A walkthrough on Responsible AI Frameworks and Case Studies](https://www.wearedevelopers.com/videos/509-a-walkthrough-on-responsible-ai-frameworks-and-case-studies) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Big Business, Big Barriers? 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