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Verified live 1d ago

Infrastructure Engineer – Data Platform & Annotation Tools

Brief overview

San Francisco, California, United StatesIn-person
2 H-1B approvalsDept. of Labor
data platform developmentannotation toolsdata ingestion pipelinesscalable infrastructuredata governanceregulatory complianceSOC 2GDPRsecure data storageauditabilitycross-functional collaborationinternational coordinationGUI toolsengineering leadershiptoolinginfrastructure foundations

Visa sponsorship history

1 year sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
2H-1B approved
100%approval rate
1new H-1B hires
$189,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20262
Top sponsored roles
Member of Technical StaffChief Technology Officer

Job description

1. Data Platform and Annotation Tool DevelopmentDesign and build internal data tools, including labeling and annotation platforms.Develop data ingestion pipelines and early product prototypes that can scale as needs grow.Drive 0 to 1 development with rapid iteration and tight feedback loops.

2. Infrastructure and ComplianceEstablish best practices for scalable infrastructure as the engineering team grows.Ensure data governance and regulatory compliance for enterprise customers, including SOC 2 and GDPR.Build workflows that support secure data collection, storage, and auditability.

3. Cross Functional and Global CollaborationWork closely with research, operations, and China based engineering teams to ship internal tools quickly.Coordinate across U.S. and China teams to align product direction, technical decisions, and cultural expectations.Drive fast iteration on GUI tools and internal data systems.

4. Technical LeadershipOperate with strong engineering instincts in an early stage environment with limited structure.Shape internal standards, tooling, and infrastructure foundations for the company.

QualificationsRequiredExperience building or scaling internal data platforms or annotation tools at AI or data centric companies.Familiarity with enterprise data regulations and compliance standards.Ability to work cross functionally and internationally, ideally with experience partnering with China based teams.

BonusPassion for robotics and emerging AI systems.Comfort working in a fast pace, exploratory environment.Experience with robotic learning systems or large generative models.

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