Staff AI Linguist

LinkedIn is the world’s 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Our Human Judgment, Annotation, Labeling, and Operations (HALO) team is a team of innovative and passionate AI Linguists, Machine Learning Engineers, Front-end Engineers, System Engineers, and Program Managers who are driven by an ambitious and exciting charter. Our team creates leading-edge AI resources, automated platforms and technologies needed to understand, enhance, and revolutionize the Linkedin experience of 1B members.

HALO team is the quality, evaluation, and data annotation partner across AI at Linkedin, supporting multiple AI teams and products to make a difference and accelerate progress. Here is an exciting opportunity for a Staff AI Linguist to join our team within the Foundational AI Technologies (FAIT) organization at LinkedIn!

This role will be based in Sunnyvale, CA.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. 

Responsibilities
Drive cross-functional AI quality, evaluation, and data annotation initiatives with AI and Product partners to design and build innovative AI solutions, at scale and with high quality
Develop and curate qualitative concepts that can be leveraged across LinkedIn ecosystem via human, AI, and hybrid methods
Partner with and influence cross-functional teams to enhance technical roadmaps, mitigate risks, and establish quality standards of Linkedin AI products
Lead the development of human judgment pipelines and own the quality for the enablement of AI models’ goals
Provide hands-on technical leadership to all levels of AI Linguists by conducting comprehensive reviews of team designs/solutions, analyzing results, implementing details across multiple initiatives, with innovation at core
Communicate effectively across functions and elevate the understanding of AI Linguist work across the company

Qualifications
Basic Qualifications:
Bachelor's degree in Computational Linguistics, Language Technologies, Linguistics or a related field
5+ years relevant industry experience
Experience with independently building and leading projects to completion
Experience with large-scale collection of human judgments (e.g. crowdsourcing) and prompt engineering for automated evaluation/data annotation
Experience with developing annotated corpora to train and evaluate machine learning models
In-depth knowledge and understanding of the human judgment in the AI context
Background in written/spoken communication in English
Experience in programming in Python or similar scripting language

Preferred Qualifications:
MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics or a related field
Experience delivering evaluation solutions for AI-driven products
Proven experience in driving strategy and vision for respective projects/teams as well as influencing product strategy on adjacent teams
Experience with i18n and/or multi-modal data annotation and curation is a plus
Substantial experience in at least one programming language is a plus

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $125,000 to $207,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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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
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

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