Analytics Engineer
Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Data Operations Lead
Leads data operations for AI audio models, translating research needs into actionable specifications, managing end-to-end data acquisition and annotation with internal and vendor teams, and scaling labeling workflows and workforce.
150k – 200kSan Francisco, CAData EngineeringHybrid
About the role
Key Responsibilities
- Translate Research Needs: Convert complex research requirements into clear, actionable data specifications and labeling workflows.
- Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are delivered on schedule and meet rigorous quality standards.
- Lead Labeling Teams: Direct both in-house and third-party labeling teams by setting guidelines, prioritizing workflows, implementing robust quality control (QC) processes, and monitoring overall throughput.
- Scale and Optimize: Continuously improve operational tooling and processes while supporting the hiring, training, and development of our growing labeling workforce.
Who You Are
- Detail-Obsessed: Excel at collaborating with researchers to craft clear project guidelines and building airtight processes.
- Strong Communicator: Comfortable interacting with researchers, managing external vendors, delivering constructive feedback, and keeping large labeling teams aligned.
- Passionate About Audio AI: Driven by a desire to push the frontiers of new technology.
- Highly Motivated & Autonomous: Relentless work ethic, take initiative, prioritize learning.
- Analytical Problem Solver: Tackle complex challenges with a first-principles mindset.
Skills
Data AnnotationData LabelingQuality ControlData AcquisitionAi Audio ModelsLabeling WorkflowsData SpecificationsOperational ToolingVendor ManagementTeam Leadership
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