LinkedIn3

Senior AI Linguist

Apply Now

At a Glance

Location
Mountain View, California, United States
Employment
Full-time
Experience
2+ years
Department
Engineering
Posted
2026-03-11T20:40:10.963Z

Key Requirements

Required Skills

Python

Domain Knowledge

  • Engineering

Requirements

Basic Qualifications

BA/BS in Computational Linguistics, Linguistics, Language Technologies, or related field

2+ years industry experience in human judgment/annotation/evaluation supporting AI development

Proven ownership of medium-to-large evaluation or annotation initiatives (method + delivery)

Demonstrated cross-functional collaboration (Engineering/Product/Data partners) and ability to manage tradeoffs and dependencies

Experience designing large-scale pipelines with QA governance and maintenance plans, including vendor/platform-based workflows

Compensation & Benefits

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

Documents in alternate formats or read aloud to you

Responsibilities

This role will be based in Mountain View, CA.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

HALO (Human Judgment, Annotation, Localization, and Operations) is a horizontal team within Core AI that partners across the company to enable high-quality human judgment for AI development. We partner closely with cross-functional stakeholders and internal teams to define quality goals, design evaluation and data pipelines, and scale repeatable measurement systems. Our work spans multiple initiatives at once, supported by shared standards, platforms, and best practices that help teams move faster without compromising quality.

Role Summary

AI is evolving rapidly and high-performing teams win by defining quality clearly, building reliable ground truth, and scaling human judgment without slowing innovation. HALO makes that possible.

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, including but not limited to relevance, ranking, rationale quality, and emerging multi-step and agentic capabilities. 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.

About the Company

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.