ML Data Annotations Operations, Staff TPM

World's largest professional network built to help members 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 crucial for the CORE AI team. The position involves leading data curation and annotation efforts across LinkedIn, working at the forefront of evaluating cutting-edge AI products. The role requires strong partnership building, as you'll collaborate with teams company-wide to meet data requirements efficiently. You'll oversee annotation project workflows, manage technical pipelines, and drive quality improvements in data processes. The ideal candidate brings 5+ years of technical project management experience, strong analytical skills, and familiarity with annotation tools and scripting languages. LinkedIn offers a competitive compensation package ($134,000-$221,000), comprehensive benefits, and a culture focused on employee well-being. The company is committed to diversity, equal opportunity, and creating an inclusive environment where all employees can thrive. This role presents an exciting opportunity to shape the future of AI applications while working with cutting-edge technology at a leading tech company.

Last updated a day 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 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
  • 5+ years of experience in managing large projects with multiple stakeholders
  • Experience running scripts and using annotation tools
  • Analytical skills, attention to detail, and ability to prioritize tasks

Benefits For ML Data Annotations Operations, Staff TPM

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

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