ML Data Annotations Operations, Staff TPM

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.
$134,000 - $221,000
Data
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For ML Data Annotations Operations, Staff TPM

LinkedIn, the world's largest professional network, is seeking a Staff TPM for ML Data Annotations Operations. This hybrid role, based in Mountain View, California, is a crucial position within LinkedIn's CORE AI team. The role involves leading data curation and annotation efforts across LinkedIn, working at the forefront of evaluating cutting-edge AI-based products. The position requires strong technical expertise in managing annotation projects, developing scalable workflows, and ensuring high-quality data outputs for AI model development. The ideal candidate will have extensive experience in technical project management, strong analytical skills, and the ability to collaborate effectively across multiple teams. The role offers competitive compensation ($134,000-$221,000), comprehensive benefits, and the opportunity to work on impactful AI initiatives at a global scale. LinkedIn provides a culture focused on diversity, inclusion, and professional growth, making it an ideal environment for those looking to make a significant impact in AI and data operations.

Last updated 16 hours ago

Responsibilities For ML Data Annotations Operations, Staff TPM

  • Support the design and implementation of scalable workflows for annotation projects
  • Provide technical support for the annotation pipelines
  • Collaborate with partners and data annotators processes and enhance data quality
  • Contribute to the creation and continuous improvement of annotation guidelines and tools
  • Analyze annotated data for patterns and insights that inform AI model development

Requirements For ML Data Annotations Operations, Staff TPM

Python
  • B.S./B.A. Engineering, Computer Science or related technical field, or equivalent practical experience
  • 5+ years professional experience in an engineering or technical team, managing technical programs/projects
  • 5+ years of experience in managing large projects with multiple stakeholders
  • Experience running scripts and using annotation tools or related software
  • Analytical skills, attention to detail, and ability to prioritize tasks

Benefits For ML Data Annotations Operations, Staff TPM

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Health and wellness programs
  • Generous time off
  • Annual performance bonus
  • Stock options
  • Comprehensive benefits package

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