Senior Ai Linguist

LINKEDIN

Mountain View, CA, United States
$141,000 - $252,500; bonus/equity: annual performa...
Hybrid
Designing annotation tasks and rubrics
Producing high-quality ground truth
Building scalable annotation pipelines
LinkedIn is seeking a Senior AI Linguist to enhance the quality of its AI systems through the development of evaluation standards, annotation tasks, and collaboration with cross-functional teams. This hybrid position requires a strong background in linguistics and AI, focusing on building scalable annotation pipelines and ensuring high-quality human judgment in AI development

Job Summary

  • The AI Linguist plays a key role in shaping the quality of LinkedIn’s AI systems across a wide range of use cases, experiences, and product areas.
  • This role turns ambiguity into clear evaluation standards by designing annotation tasks and rubrics, producing high-quality ground truth through hands-on annotation, and building frameworks that make AI systems, models, and agents trainable, measurable, and continuously improvable.
  • LinkedIn is committed to fair and equitable compensation practices, with a pay range for this role of $141,000 - $252,500, plus potential annual performance bonus, stock, and benefits.

Matching Summary

Match Score: 85

LinkedIn is seeking a Senior AI Linguist to enhance the quality of its AI systems through the development of evaluation standards, annotation tasks, and collaboration with cross-functional teams. This hybrid position requires a strong background in linguistics and AI, focusing on building scalable annotation pipelines and ensuring high-quality human judgment in AI development.

Salary

$141,000 - $252,500; Bonus/Equity: Annual performance bonus, stock, and/or other applicable incentive compensation plans; Benefits: Generous health and wellness programs and time away

Skills & Requirements

Must-have

  • designing annotation tasks and rubrics
  • producing high-quality ground truth
  • building scalable annotation pipelines
  • conducting audits of work
  • leveraging AI tools for scaling
  • error analysis and iteration

Nice-to-have

  • thrives in ambiguity
  • builds frameworks others depend on
  • shapes AI performance
  • cross-functional collaboration
  • mentoring junior linguists

Key Requirements

  • 2+ years industry experience
  • BA/BS in relevant field
  • proven ownership of evaluation initiatives
  • experience designing large-scale pipelines
  • proficiency in Python for analysis

Work Rights

Not specified

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